diff --git a/_includes/head.html b/_includes/head.html
index 472cbe2..4b00a40 100644
--- a/_includes/head.html
+++ b/_includes/head.html
@@ -50,11 +50,27 @@
 {% endif %}
 <!-- end of Twitter cards -->
 
+<!-- Mermaid.js for diagrams and charts -->
+<script src="https://cdn.jsdelivr.net/npm/mermaid@11/dist/mermaid.min.js"></script>
+<script>
+  mermaid.initialize({
+    startOnLoad: true,
+    theme: 'default'
+  });
+</script>
+
 <!-- Dark Mode Script -->
 <script>
   // Function to set theme based on system preference
   function setTheme(isDark) {
     document.documentElement.setAttribute('data-theme', isDark ? 'dark' : 'light');
+    // Update Mermaid theme when system preference changes
+    if (typeof mermaid !== 'undefined') {
+      mermaid.initialize({
+        startOnLoad: true,
+        theme: isDark ? 'dark' : 'default'
+      });
+    }
   }
 
   // Initialize when DOM is ready
@@ -62,7 +78,7 @@
     // Initial theme setup based on system preference
     const prefersDarkScheme = window.matchMedia('(prefers-color-scheme: dark)');
     setTheme(prefersDarkScheme.matches);
-    
+
     // Listen for system dark mode preference changes
     if (prefersDarkScheme.addEventListener) {
       prefersDarkScheme.addEventListener('change', function(e) {
@@ -75,7 +91,7 @@
       });
     }
   });
-  
+
   // Apply theme immediately to reduce flash of incorrect theme
   (function() {
     const prefersDarkScheme = window.matchMedia('(prefers-color-scheme: dark)');
diff --git a/_includes/mermaid_chart.html b/_includes/mermaid_chart.html
new file mode 100644
index 0000000..a5f8b8d
--- /dev/null
+++ b/_includes/mermaid_chart.html
@@ -0,0 +1,8 @@
+{% comment %}
+Include a Mermaid chart from a file.
+Usage: {% include mermaid_chart.html file="path/to/chart.md" %}
+{% endcomment %}
+{% capture chart_content %}{% include_relative {{ include.file }} %}{% endcapture %}
+<div class="mermaid">
+{{ chart_content | strip }}
+</div>
diff --git a/_pages/docs/phep-3-support-schedule.md b/_pages/docs/phep-3-support-schedule.md
index cdf5bdc..ef39c1e 100644
--- a/_pages/docs/phep-3-support-schedule.md
+++ b/_pages/docs/phep-3-support-schedule.md
@@ -5,8 +5,59 @@ permalink: /docs/pheps/phep-3-support-schedule/
 exclude: true
 ---
 
-TODO.
+This page provides a visual timeline and schedule for [PHEP 3](https://github.com/heliophysicsPy/standards/blob/main/pheps/phep-0003.md), PyHC's Python and Upstream Package Support Policy.
 
-Per PHEP 3's "How to Teach This" section:
-- The PyHC Tech Lead will maintain a new web page on the PyHC website detailing the support policy and include a graphical timeline of the schedule (similar to the Gantt chart above).
- - Automated email reminders will be sent via the PyHC mailing list quarterly and near important drop/support dates to remind package maintainers of the schedule.
+<br>
+
+## Support Policy Summary
+
+All PyHC packages should:
+1. **Support Python versions** for at least **36 months** (3 years) after their initial release
+2. **Support upstream core Scientific Python packages** for at least **24 months** (2 years) after their initial release
+3. **Adopt support for new versions** within **6 months** of their release
+
+The upstream [core Scientific Python packages](https://scientific-python.org/specs/core-projects/) are:
+- `numpy`, `scipy`, `matplotlib`, `pandas`, `scikit-image`, `networkx`, `scikit-learn`, `xarray`, `ipython`, `zarr`
+
+<br>
+
+## Support Window Timeline
+
+{% include mermaid_chart.html file="phep-3/chart.md" %}
+
+## Drop and Adoption Schedule
+
+Below is an auto-generated schedule with recommended dates for dropping support and adopting new versions. We suggest that the next release in a given quarter is considered as the one removing support for a given item.
+
+You may want to delay the removal of support of an older Python version until your package fully works on the newly released Python, thus keeping the number of supported minor versions of Python the same for your package.
+
+<br>
+
+<div class="schedule-table" markdown="1">
+{% include_relative phep-3/schedule.md %}
+</div>
+
+---
+
+<br>
+
+## Additional Information
+
+- **Full PHEP 3 specification:** [PHEP 3 on GitHub](https://github.com/heliophysicsPy/standards/blob/main/pheps/phep-0003.md)
+- **DOI:** [10.5281/zenodo.17794207](https://doi.org/10.5281/zenodo.17794207)
+- **Email reminders:** Automated email reminders are sent via the PyHC mailing list quarterly and near important drop/support dates
+- **Questions?** [Contact](/contact) the PyHC Tech Lead or discuss on the [PyHC's mailing list or Slack](/contact)
+
+<br>
+
+## For Package Maintainers
+
+PyHC packages should:
+- Clearly document their dependency version policy (see examples: [PlasmaPy](https://docs.plasmapy.org/en/stable/contributing/coding_guide.html#dependencies-and-requirements), [SpacePy](https://spacepy.github.io/dep_versions.html))
+- Test against the minimum and maximum supported versions
+- Avoid maximum or exact requirements (e.g., `numpy<2` or `matplotlib==3.5.3`) unless absolutely necessary
+- Not require versions of any dependency older than 24 months
+
+---
+
+*This page is maintained by the PyHC Tech Lead. The schedule is generated using code from PHEP 3 and is updated periodically.*
diff --git a/_pages/docs/phep-3/chart.md b/_pages/docs/phep-3/chart.md
new file mode 100644
index 0000000..e5a09fb
--- /dev/null
+++ b/_pages/docs/phep-3/chart.md
@@ -0,0 +1,139 @@
+gantt
+dateFormat YYYY-MM-DD
+axisFormat %m / %Y
+title Support Window
+
+section python
+3.11 : 2022-10-24,2025-10-23
+3.12 : 2023-10-02,2026-10-01
+3.13 : 2024-10-07,2027-10-07
+3.14 : 2025-10-07,2028-10-06
+
+section numpy
+1.25.0 : 2023-06-17,2025-06-16
+1.26.0 : 2023-09-16,2025-09-15
+2.0.0 : 2024-06-16,2026-06-16
+2.1.0 : 2024-08-18,2026-08-18
+2.2.0 : 2024-12-08,2026-12-08
+2.3.0 : 2025-06-07,2027-06-07
+2.4.0 : 2025-12-20,2027-12-20
+
+section scipy
+1.11.0 : 2023-06-25,2025-06-24
+1.12.0 : 2024-01-20,2026-01-19
+1.13.0 : 2024-04-02,2026-04-02
+1.14.0 : 2024-06-24,2026-06-24
+1.15.0 : 2025-01-03,2027-01-03
+1.16.0 : 2025-06-22,2027-06-22
+1.17.0 : 2026-01-10,2028-01-10
+
+section matplotlib
+3.8.0 : 2023-09-15,2025-09-14
+3.9.0 : 2024-05-15,2026-05-15
+3.10.0 : 2024-12-14,2026-12-14
+
+section pandas
+2.0.0 : 2023-04-03,2025-04-02
+2.1.0 : 2023-08-30,2025-08-29
+2.2.0 : 2024-01-20,2026-01-19
+2.3.0 : 2025-06-05,2027-06-05
+
+section scikit-image
+0.21.0 : 2023-06-02,2025-06-01
+0.22.0 : 2023-10-03,2025-10-02
+0.23.0 : 2024-04-10,2026-04-10
+0.24.0 : 2024-06-18,2026-06-18
+0.25.0 : 2024-12-13,2026-12-13
+0.26.0 : 2025-12-20,2027-12-20
+
+section networkx
+3.1 : 2023-04-04,2025-04-03
+3.2 : 2023-10-19,2025-10-18
+3.3 : 2024-04-06,2026-04-06
+3.4 : 2024-10-10,2026-10-10
+3.5 : 2025-05-29,2027-05-29
+3.6 : 2025-11-24,2027-11-24
+
+section scikit-learn
+1.3.0 : 2023-06-30,2025-06-29
+1.4.0 : 2024-01-18,2026-01-17
+1.5.0 : 2024-05-21,2026-05-21
+1.6.0 : 2024-12-09,2026-12-09
+1.7.0 : 2025-06-05,2027-06-05
+1.8.0 : 2025-12-10,2027-12-10
+
+section xarray
+2023.4.0 : 2023-04-14,2025-04-13
+2023.5.0 : 2023-05-19,2025-05-18
+2023.6.0 : 2023-06-23,2025-06-22
+2023.7.0 : 2023-07-17,2025-07-16
+2023.8.0 : 2023-08-20,2025-08-19
+2023.9.0 : 2023-09-26,2025-09-25
+2023.10.0 : 2023-10-19,2025-10-18
+2023.11.0 : 2023-11-17,2025-11-16
+2023.12.0 : 2023-12-08,2025-12-07
+2024.1.0 : 2024-01-17,2026-01-16
+2024.2.0 : 2024-02-19,2026-02-18
+2024.3.0 : 2024-03-29,2026-03-29
+2024.5.0 : 2024-05-13,2026-05-13
+2024.6.0 : 2024-06-13,2026-06-13
+2024.7.0 : 2024-07-30,2026-07-30
+2024.9.0 : 2024-09-11,2026-09-11
+2024.10.0 : 2024-10-24,2026-10-24
+2024.11.0 : 2024-11-22,2026-11-22
+2025.1.0 : 2025-01-03,2027-01-03
+2025.3.0 : 2025-03-20,2027-03-20
+2025.4.0 : 2025-04-29,2027-04-29
+2025.6.0 : 2025-06-10,2027-06-10
+2025.7.0 : 2025-07-03,2027-07-03
+2025.8.0 : 2025-08-14,2027-08-14
+2025.9.0 : 2025-09-04,2027-09-04
+2025.10.0 : 2025-10-06,2027-10-06
+2025.11.0 : 2025-11-17,2027-11-17
+2025.12.0 : 2025-12-05,2027-12-05
+
+section ipython
+8.13.0 : 2023-04-28,2025-04-27
+8.14.0 : 2023-06-02,2025-06-01
+8.15.0 : 2023-09-01,2025-08-31
+8.16.0 : 2023-09-29,2025-09-28
+8.17.0 : 2023-10-30,2025-10-29
+8.18.0 : 2023-11-24,2025-11-23
+8.19.0 : 2023-12-22,2025-12-21
+8.20.0 : 2024-01-08,2026-01-07
+8.21.0 : 2024-01-31,2026-01-30
+8.22.0 : 2024-02-22,2026-02-21
+8.23.0 : 2024-03-31,2026-03-31
+8.24.0 : 2024-04-26,2026-04-26
+8.25.0 : 2024-05-31,2026-05-31
+8.26.0 : 2024-06-28,2026-06-28
+8.27.0 : 2024-08-30,2026-08-30
+8.28.0 : 2024-10-02,2026-10-02
+8.29.0 : 2024-10-25,2026-10-25
+8.30.0 : 2024-11-29,2026-11-29
+8.31.0 : 2024-12-20,2026-12-20
+8.32.0 : 2025-01-31,2027-01-31
+8.33.0 : 2025-02-28,2027-02-28
+8.34.0 : 2025-03-08,2027-03-08
+8.35.0 : 2025-04-07,2027-04-07
+8.36.0 : 2025-04-25,2027-04-25
+8.37.0 : 2025-05-31,2027-05-31
+8.38.0 : 2026-01-05,2028-01-05
+9.0.0 : 2025-02-28,2027-02-28
+9.1.0 : 2025-04-07,2027-04-07
+9.2.0 : 2025-04-25,2027-04-25
+9.3.0 : 2025-05-31,2027-05-31
+9.4.0 : 2025-07-01,2027-07-01
+9.5.0 : 2025-08-29,2027-08-29
+9.6.0 : 2025-09-29,2027-09-29
+9.7.0 : 2025-11-05,2027-11-05
+9.8.0 : 2025-12-03,2027-12-03
+9.9.0 : 2026-01-05,2028-01-05
+
+section zarr
+2.15.0 : 2023-06-14,2025-06-13
+2.16.0 : 2023-07-20,2025-07-19
+2.17.0 : 2024-02-14,2026-02-13
+2.18.0 : 2024-05-07,2026-05-07
+3.0.0 : 2025-01-09,2027-01-09
+3.1.0 : 2025-07-15,2027-07-15
diff --git a/_pages/docs/phep-3/generate_schedule.py b/_pages/docs/phep-3/generate_schedule.py
new file mode 100644
index 0000000..8a5d814
--- /dev/null
+++ b/_pages/docs/phep-3/generate_schedule.py
@@ -0,0 +1,249 @@
+import requests
+import collections
+from datetime import datetime, timedelta
+
+import pandas as pd
+from packaging.version import Version
+
+
+py_releases = {
+    "3.9": "Oct 5, 2020",
+    "3.10": "Oct 4, 2021",
+    "3.11": "Oct 24, 2022",
+    "3.12": "Oct 2, 2023",
+    "3.13": "Oct 7, 2024",
+    "3.14": "Oct 7, 2025"
+}
+core_packages = [
+    "numpy",
+    "scipy",
+    "matplotlib",
+    "pandas",
+    "scikit-image",
+    "networkx",
+    "scikit-learn",
+    "xarray",
+    "ipython",
+    "zarr"
+]
+plus36 = timedelta(days=int(365 * 3))
+plus24 = timedelta(days=int(365 * 2))
+plus6 = timedelta(days=int(365 * 0.5))
+
+# Release data
+
+# put cutoff 3 quarters ago – we do not use "just" -9 month,
+# to avoid the content of the quarter to change depending on when we generate this
+# file during the current quarter.
+
+current_date = pd.Timestamp.now()
+current_quarter_start = pd.Timestamp(
+    current_date.year, (current_date.quarter - 1) * 3 + 1, 1
+)
+cutoff = current_quarter_start - pd.DateOffset(months=9)
+
+
+def get_release_dates(package, support_time=plus24):
+    releases = {}
+
+    print(f"Querying pypi.org for {package} versions...", end="", flush=True)
+    response = requests.get(
+        f"https://pypi.org/simple/{package}",
+        headers={"Accept": "application/vnd.pypi.simple.v1+json"},
+    ).json()
+    print("OK")
+
+    file_date = collections.defaultdict(list)
+    for f in response["files"]:
+        ver = f["filename"].split("-")[1]
+        try:
+            version = Version(ver)
+        except:
+            continue
+
+        if version.is_prerelease or version.micro != 0:
+            continue
+
+        release_date = None
+        for format in ["%Y-%m-%dT%H:%M:%S.%fZ", "%Y-%m-%dT%H:%M:%SZ"]:
+            try:
+                release_date = datetime.strptime(f["upload-time"], format)
+            except:
+                pass
+
+        if not release_date:
+            continue
+
+        file_date[version].append(release_date)
+
+    release_date = {v: min(file_date[v]) for v in file_date}
+
+    for ver, release_date in sorted(release_date.items()):
+        drop_date = release_date + support_time
+        if drop_date >= cutoff:
+            releases[ver] = {
+                "release_date": release_date,
+                "drop_date": drop_date,
+                "support_by_date": release_date + plus6
+            }
+
+    return releases
+
+
+package_releases = {
+    "python": {
+        version: {
+            "release_date": datetime.strptime(release_date, "%b %d, %Y"),
+            "drop_date": datetime.strptime(release_date, "%b %d, %Y") + plus36,
+            "support_by_date": datetime.strptime(release_date, "%b %d, %Y") + plus6
+        }
+        for version, release_date in py_releases.items()
+    }
+}
+
+package_releases |= {package: get_release_dates(package) for package in core_packages}
+
+# filter all items whose drop_date are in the past
+package_releases = {
+    package: {
+        version: dates
+        for version, dates in releases.items()
+        if dates["drop_date"] > cutoff
+    }
+    for package, releases in package_releases.items()
+}
+
+
+# Save Gantt chart
+# You can paste the contents into https://mermaid.live/ to generate the chart image.
+
+print("Saving Mermaid chart to chart.md (render at https://mermaid.live/)")
+with open("chart.md", "w") as fh:
+    fh.write(
+        """gantt
+dateFormat YYYY-MM-DD
+axisFormat %m / %Y
+title Support Window"""
+    )
+
+    for name, releases in package_releases.items():
+        fh.write(f"\n\nsection {name}")
+        for version, dates in releases.items():
+            fh.write(
+                f"\n{version} : {dates['release_date'].strftime('%Y-%m-%d')},{dates['drop_date'].strftime('%Y-%m-%d')}"
+            )
+    fh.write("\n")
+
+# Print drop schedule
+
+data = []
+for k, versions in package_releases.items():
+    for v, dates in versions.items():
+        data.append(
+            (
+                k,
+                v,
+                pd.to_datetime(dates["release_date"]),
+                pd.to_datetime(dates["drop_date"]),
+                pd.to_datetime(dates["support_by_date"]),
+            )
+        )
+
+df = pd.DataFrame(data, columns=["package", "version", "release", "drop", "support_by"])
+
+df["quarter_drop"] = df["drop"].dt.to_period("Q")
+df["quarter_support_by"] = df["support_by"].dt.to_period("Q")
+
+dq_drop = df.set_index(["quarter_drop", "package"]).sort_index()
+dq_support_by = df.set_index(["quarter_support_by", "package"]).sort_index()
+
+
+print("Saving support schedule to schedule.md")
+
+
+def pad_table(table):
+    rows = [[el.strip() for el in row.split("|")] for row in table]
+    col_widths = [max(map(len, column)) for column in zip(*rows)]
+    rows[1] = [
+        el if el != "----" else "-" * col_widths[i] for i, el in enumerate(rows[1])
+    ]
+    padded_table = []
+    for row in rows:
+        line = ""
+        for entry, width in zip(row, col_widths):
+            if not width:
+                continue
+            line += f"| {str.ljust(entry, width)} "
+        line += f"|"
+        padded_table.append(line)
+
+    return padded_table
+
+
+def make_table(sub):
+    table = []
+    table.append("|    |    |    |")
+    table.append("|----|----|----|")
+    for package in sorted(set(sub.index.get_level_values(0))):
+        vers = sub.loc[[package]]["version"]
+        minv, maxv = min(vers), max(vers)
+        rels = sub.loc[[package]]["release"]
+        rel_min, rel_max = min(rels), max(rels)
+        version_range = str(minv) if minv == maxv else f"{minv} to {maxv}"
+        rel_range = (
+            str(rel_min.strftime("%b %Y"))
+            if rel_min == rel_max
+            else f"{rel_min.strftime('%b %Y')} and {rel_max.strftime('%b %Y')}"
+        )
+        table.append(f"|{package:<15}|{version_range:<19}|released {rel_range}|")
+
+    return pad_table(table)
+
+
+def make_adopt_table(sub):
+    table = []
+    table.append("|    |    |    |")
+    table.append("|----|----|----|")
+    for package in sorted(set(sub.index.get_level_values(0))):
+        vers = sub.loc[[package]]["version"]
+        minv, maxv = min(vers), max(vers)
+        support_bys = sub.loc[[package]]["support_by"]
+        support_by_min, support_by_max = min(support_bys), max(support_bys)
+        version_range = str(minv) if minv == maxv else f"{minv} to {maxv}"
+        support_by_range = (
+            str(support_by_min.strftime("%b %Y"))
+            if support_by_min == support_by_max
+            else f"{support_by_min.strftime('%b %Y')} and {support_by_max.strftime('%b %Y')}"
+        )
+        table.append(f"|{package:<15}|{version_range:<19}|support by {support_by_range}|")
+
+    return pad_table(table)
+
+
+def make_quarter(quarter, dq_drop, dq_support_by):
+    table = ["#### " + str(quarter).replace("Q", " - Quarter ") + ":\n"]
+
+    # Add new versions adoption schedule if not empty
+    if quarter in dq_support_by.index.get_level_values(0):
+        table.append("###### Adopt support for:\n")
+        adopt_sub = dq_support_by.loc[quarter]
+        adopt_table = make_adopt_table(adopt_sub)
+        table.extend(adopt_table)
+
+    table.append("\n###### Can drop support for:\n")
+    sub = dq_drop.loc[quarter]
+    table.extend(make_table(sub))
+
+    return "\n".join(table)
+
+
+with open("schedule.md", "w") as fh:
+    # we collect package 6 month in the past, and drop the first quarter
+    # as we might have filtered some of the packages out depending on
+    # when we ran the script.
+    tb = []
+    for quarter in list(sorted(set(dq_drop.index.get_level_values(0))))[1:]:
+        tb.append(make_quarter(quarter, dq_drop, dq_support_by))
+
+    fh.write("\n\n".join(tb))
+    fh.write("\n")
diff --git a/_pages/docs/phep-3/schedule.md b/_pages/docs/phep-3/schedule.md
new file mode 100644
index 0000000..b531bb6
--- /dev/null
+++ b/_pages/docs/phep-3/schedule.md
@@ -0,0 +1,199 @@
+#### 2025 - Quarter 3:
+
+###### Adopt support for:
+
+|         |                      |                                  |
+| ------- | -------------------- | -------------------------------- |
+| ipython | 8.32.0 to 9.0.0      | support by Aug 2025 and Sep 2025 |
+| scipy   | 1.15.0               | support by Jul 2025              |
+| xarray  | 2025.1.0 to 2025.3.0 | support by Jul 2025 and Sep 2025 |
+| zarr    | 3.0.0                | support by Jul 2025              |
+
+###### Can drop support for:
+
+|            |                      |                                |
+| ---------- | -------------------- | ------------------------------ |
+| ipython    | 8.15.0 to 8.16.0     | released Sep 2023 and Sep 2023 |
+| matplotlib | 3.8.0                | released Sep 2023              |
+| numpy      | 1.26.0               | released Sep 2023              |
+| pandas     | 2.1.0                | released Aug 2023              |
+| xarray     | 2023.7.0 to 2023.9.0 | released Jul 2023 and Sep 2023 |
+| zarr       | 2.16.0               | released Jul 2023              |
+
+#### 2025 - Quarter 4:
+
+###### Adopt support for:
+
+|              |                      |                                  |
+| ------------ | -------------------- | -------------------------------- |
+| ipython      | 8.35.0 to 9.4.0      | support by Oct 2025 and Dec 2025 |
+| networkx     | 3.5                  | support by Nov 2025              |
+| numpy        | 2.3.0                | support by Dec 2025              |
+| pandas       | 2.3.0                | support by Dec 2025              |
+| scikit-learn | 1.7.0                | support by Dec 2025              |
+| scipy        | 1.16.0               | support by Dec 2025              |
+| xarray       | 2025.4.0 to 2025.6.0 | support by Oct 2025 and Dec 2025 |
+
+###### Can drop support for:
+
+|              |                        |                                |
+| ------------ | ---------------------- | ------------------------------ |
+| ipython      | 8.17.0 to 8.19.0       | released Oct 2023 and Dec 2023 |
+| networkx     | 3.2                    | released Oct 2023              |
+| python       | 3.11                   | released Oct 2022              |
+| scikit-image | 0.22.0                 | released Oct 2023              |
+| xarray       | 2023.10.0 to 2023.12.0 | released Oct 2023 and Dec 2023 |
+
+#### 2026 - Quarter 1:
+
+###### Adopt support for:
+
+|         |                      |                                  |
+| ------- | -------------------- | -------------------------------- |
+| ipython | 9.5.0 to 9.6.0       | support by Feb 2026 and Mar 2026 |
+| xarray  | 2025.7.0 to 2025.9.0 | support by Jan 2026 and Mar 2026 |
+| zarr    | 3.1.0                | support by Jan 2026              |
+
+###### Can drop support for:
+
+|              |                      |                                |
+| ------------ | -------------------- | ------------------------------ |
+| ipython      | 8.20.0 to 8.23.0     | released Jan 2024 and Mar 2024 |
+| pandas       | 2.2.0                | released Jan 2024              |
+| scikit-learn | 1.4.0                | released Jan 2024              |
+| scipy        | 1.12.0               | released Jan 2024              |
+| xarray       | 2024.1.0 to 2024.3.0 | released Jan 2024 and Mar 2024 |
+| zarr         | 2.17.0               | released Feb 2024              |
+
+#### 2026 - Quarter 2:
+
+###### Adopt support for:
+
+|              |                        |                                  |
+| ------------ | ---------------------- | -------------------------------- |
+| ipython      | 9.7.0 to 9.8.0         | support by May 2026 and Jun 2026 |
+| networkx     | 3.6                    | support by May 2026              |
+| numpy        | 2.4.0                  | support by Jun 2026              |
+| python       | 3.14                   | support by Apr 2026              |
+| scikit-image | 0.26.0                 | support by Jun 2026              |
+| scikit-learn | 1.8.0                  | support by Jun 2026              |
+| xarray       | 2025.10.0 to 2025.12.0 | support by Apr 2026 and Jun 2026 |
+
+###### Can drop support for:
+
+|              |                      |                                |
+| ------------ | -------------------- | ------------------------------ |
+| ipython      | 8.24.0 to 8.26.0     | released Apr 2024 and Jun 2024 |
+| matplotlib   | 3.9.0                | released May 2024              |
+| networkx     | 3.3                  | released Apr 2024              |
+| numpy        | 2.0.0                | released Jun 2024              |
+| scikit-image | 0.23.0 to 0.24.0     | released Apr 2024 and Jun 2024 |
+| scikit-learn | 1.5.0                | released May 2024              |
+| scipy        | 1.13.0 to 1.14.0     | released Apr 2024 and Jun 2024 |
+| xarray       | 2024.5.0 to 2024.6.0 | released May 2024 and Jun 2024 |
+| zarr         | 2.18.0               | released May 2024              |
+
+#### 2026 - Quarter 3:
+
+###### Adopt support for:
+
+|         |                 |                                  |
+| ------- | --------------- | -------------------------------- |
+| ipython | 8.38.0 to 9.9.0 | support by Jul 2026 and Jul 2026 |
+| scipy   | 1.17.0          | support by Jul 2026              |
+
+###### Can drop support for:
+
+|         |                      |                                |
+| ------- | -------------------- | ------------------------------ |
+| ipython | 8.27.0               | released Aug 2024              |
+| numpy   | 2.1.0                | released Aug 2024              |
+| xarray  | 2024.7.0 to 2024.9.0 | released Jul 2024 and Sep 2024 |
+
+#### 2026 - Quarter 4:
+
+
+###### Can drop support for:
+
+|              |                        |                                |
+| ------------ | ---------------------- | ------------------------------ |
+| ipython      | 8.28.0 to 8.31.0       | released Oct 2024 and Dec 2024 |
+| matplotlib   | 3.10.0                 | released Dec 2024              |
+| networkx     | 3.4                    | released Oct 2024              |
+| numpy        | 2.2.0                  | released Dec 2024              |
+| python       | 3.12                   | released Oct 2023              |
+| scikit-image | 0.25.0                 | released Dec 2024              |
+| scikit-learn | 1.6.0                  | released Dec 2024              |
+| xarray       | 2024.10.0 to 2024.11.0 | released Oct 2024 and Nov 2024 |
+
+#### 2027 - Quarter 1:
+
+
+###### Can drop support for:
+
+|         |                      |                                |
+| ------- | -------------------- | ------------------------------ |
+| ipython | 8.32.0 to 9.0.0      | released Jan 2025 and Mar 2025 |
+| scipy   | 1.15.0               | released Jan 2025              |
+| xarray  | 2025.1.0 to 2025.3.0 | released Jan 2025 and Mar 2025 |
+| zarr    | 3.0.0                | released Jan 2025              |
+
+#### 2027 - Quarter 2:
+
+
+###### Can drop support for:
+
+|              |                      |                                |
+| ------------ | -------------------- | ------------------------------ |
+| ipython      | 8.35.0 to 9.3.0      | released Apr 2025 and May 2025 |
+| networkx     | 3.5                  | released May 2025              |
+| numpy        | 2.3.0                | released Jun 2025              |
+| pandas       | 2.3.0                | released Jun 2025              |
+| scikit-learn | 1.7.0                | released Jun 2025              |
+| scipy        | 1.16.0               | released Jun 2025              |
+| xarray       | 2025.4.0 to 2025.6.0 | released Apr 2025 and Jun 2025 |
+
+#### 2027 - Quarter 3:
+
+
+###### Can drop support for:
+
+|         |                      |                                |
+| ------- | -------------------- | ------------------------------ |
+| ipython | 9.4.0 to 9.6.0       | released Jul 2025 and Sep 2025 |
+| xarray  | 2025.7.0 to 2025.9.0 | released Jul 2025 and Sep 2025 |
+| zarr    | 3.1.0                | released Jul 2025              |
+
+#### 2027 - Quarter 4:
+
+
+###### Can drop support for:
+
+|              |                        |                                |
+| ------------ | ---------------------- | ------------------------------ |
+| ipython      | 9.7.0 to 9.8.0         | released Nov 2025 and Dec 2025 |
+| networkx     | 3.6                    | released Nov 2025              |
+| numpy        | 2.4.0                  | released Dec 2025              |
+| python       | 3.13                   | released Oct 2024              |
+| scikit-image | 0.26.0                 | released Dec 2025              |
+| scikit-learn | 1.8.0                  | released Dec 2025              |
+| xarray       | 2025.10.0 to 2025.12.0 | released Oct 2025 and Dec 2025 |
+
+#### 2028 - Quarter 1:
+
+
+###### Can drop support for:
+
+|         |                 |                                |
+| ------- | --------------- | ------------------------------ |
+| ipython | 8.38.0 to 9.9.0 | released Jan 2026 and Jan 2026 |
+| scipy   | 1.17.0          | released Jan 2026              |
+
+#### 2028 - Quarter 4:
+
+
+###### Can drop support for:
+
+|        |      |                   |
+| ------ | ---- | ----------------- |
+| python | 3.14 | released Oct 2025 |
diff --git a/css/custom.css b/css/custom.css
index 26e088e..888f670 100644
--- a/css/custom.css
+++ b/css/custom.css
@@ -403,3 +403,34 @@ select.filter {
   padding-top: 10px;
   padding-bottom: 0px;
 }
+
+/* Markdown table styling for PHEP schedule tables */
+.schedule-table table {
+  border-collapse: collapse;
+  margin: 1em 0 2em 2em;
+  font-size: 0.95em;
+  border: none;
+}
+
+.schedule-table thead {
+  display: none;
+}
+
+.schedule-table th,
+.schedule-table td {
+  padding: 0.4em 2em 0.4em 0;
+  text-align: left;
+  vertical-align: top;
+  border: none;
+}
+
+.schedule-table h4 {
+  margin-top: 1.5em;
+  margin-bottom: 0.5em;
+}
+
+.schedule-table h6 {
+  margin-top: 1em;
+  margin-bottom: 0.5em;
+  font-weight: 600;
+}