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Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.

active 2024-12-202026-08-11 (UTC)

Partial coverage20,525 / 26,281 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
241
Pushes
85
Pull requests
12
Issues
12
Stars
88
Forks
15

Activity over time

Daily event counts in the loaded window

Line chart, 600 days from 2024-12-20 to 2026-08-11. Pushes: 85 total, peak 7 in a day. Pull requests: 12 total, peak 1 in a day. Issues: 12 total, peak 2 in a day. Comments: 17 total, peak 4 in a day. Stars: 88 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue#547fit-alessandro-berti2026-04-13 04:37
    FEAT: Add POWL 2.0 Choice Graph (PM×) Inductive Miner
  • Issue comment#546adamburkegh2026-04-08 06:46
    get_variants() silently assumes DataFrame is pre-sorted by timestamp, producing incorrect results without warning
  • Issue comment#546fit-alessandro-berti2026-04-08 06:30
    get_variants() silently assumes DataFrame is pre-sorted by timestamp, producing incorrect results without warning
  • Issue#546adamburkegh2026-04-03 10:19
    get_variants() silently assumes DataFrame is pre-sorted by timestamp, producing incorrect results without warning
  • Pull request#543terahidro20032026-02-19 09:31
  • Pull request#542gruendlich2026-02-16 10:34
  • Pull request#541tmp3dko382i94nsk2026-02-13 01:48
  • Issue comment#532fit-alessandro-berti2026-02-11 06:50
    Transformations between Object-Centric Causal Nets (OCCNs) and Object-Centric Petri Nets (OCPNs) as well as play-out and replay for both
  • Pull request#540dependabot[bot]2026-01-22 19:34
  • Issue comment#537fit-alessandro-berti2026-01-09 08:04
    IMf: filtering of start activities in the dfg
  • Issue#539tonny19832026-01-09 04:04
    Incorrectly calculating cycle time and waiting time
  • Pull request#536EMuellers2025-12-08 06:02
  • Issue comment#532olekuhlmann2025-09-20 15:32
    Transformations between Object-Centric Causal Nets (OCCNs) and Object-Centric Petri Nets (OCPNs) as well as play-out and replay for both
  • Pull request#532olekuhlmann2025-09-14 09:57
  • Issue#531ThomasGVoss2025-08-28 19:07
    sojourn_time functions are missing?
  • Issue comment#530fit-alessandro-berti2025-08-26 11:03
    Error in OCEL parsing with empty relations?
  • Issue#530fit-alessandro-berti2025-08-26 11:03
    Error in OCEL parsing with empty relations?
  • Issue#525fit-alessandro-berti2025-08-26 11:02
    The alignment view in pm4py.conformance_diagnostics_alignments is varying.
  • Issue#530massimocoletti2025-07-28 07:30
    Error in OCEL parsing with empty relations?
  • Pull request#511fit-alessandro-berti2025-07-17 12:59
  • Issue comment#527fit-alessandro-berti2025-07-17 12:59
    bugfix: read bpmn did not read in sequenceflow entries with their names
  • Issue comment#529fit-alessandro-berti2025-07-17 10:16
    Clarification on Align-ETConformance Precision: why does PM4Py skip full alignments?
  • Issue#529chiaragii2025-07-17 09:52
    Clarification on Align-ETConformance Precision: why does PM4Py skip full alignments?
  • Issue comment#528dependabot[bot]2025-07-08 05:38
    Bump pillow from 11.2.1 to 11.3.0
  • Pull request#528fit-alessandro-berti2025-07-08 05:38

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 88 stars here means stars gained during the window, not the repo's star count.