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Azure-Samples/durable-functions-quickstart-python-azd

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This repository contains a Durable Functions quickstart written in Python demonstrating the fan-out/fan-in pattern. It's deployed to Azure Functions Flex Consumption plan using the Azure Developer CLI (azd). The sample uses managed identity and a virtual network to make sure deployment is secure by default.

active 2025-10-062026-04-26 (UTC)

Partial coverage12,202 / 13,844 hourly files (88%) · 2 absent upstream · 1,638 failed, retryable2025-01-112026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
12
Pushes
3
Pull requests
3
Issues
1
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 203 days from 2025-10-06 to 2026-04-26. Pushes: 3 total, peak 3 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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

ContributorContributionsPushesPRsComments
Copilot3210
lilyjma1000
torosent1010
ggailey7771010
microsoftopensource1100

Recent activity

Latest issues, pull requests and releases

  • Pull request#5torosent2026-04-26 01:30
  • Pull request#4ggailey7772025-12-11 18:14
  • Pull request#2Copilot2025-10-06 17:50
  • Issue#1lilyjma2025-10-06 17:48
    Create Python QuickStart Sample for Durable Functions

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.