# argoproj/argo-workflows

> Container-native workflow engine for Kubernetes that orchestrates parallel jobs as Kubernetes CRDs, defining each step as a container and modeling dependencies via DAGs or sequences.

- Magnitude: 1.4 out of 10 — Steady
- Stars: 17,063 total · +2 stars measured 2026-10-28, 11:24–18:22 UTC, ≈ 3 by evening
- Star trust: star growth looks organic
- Category: DevOps & infrastructure · Language: Go · License: Apache-2.0 · Created: 2017-08-21 · Last push: 2026-10-28
- GitHub: https://github.com/argoproj/argo-workflows · Homepage: https://argo-workflows.readthedocs.io/ · Page: https://gitnova.dev/en/r/argoproj/argo-workflows

## Useful for

- Run a machine learning training pipeline as a DAG of containerized steps on Kubernetes
- Schedule recurring data or batch processing jobs with cron and artifact passing
- Automate CI/CD pipelines with retries, timeouts, and exit hooks

## Why it’s here

- Star-counter measurements on 2026-10-28 (UTC), 11:24–18:22: 17061 → 17063 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +3 stars, using observed gains and the previous day.
- GitHub Trending Go today: #16, +4 stars.
- Recent forks include notable developers: @AmirulAndalib (479 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 3,717
- Issues and pull requests: 15,892
- Watchers: 198
- Average over the last week: 3 per day
- Usual pace: 2 per day
- Stars in the last hour (measured): 0
- Latest release: v4.0.15 (2026-10-22)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-29 … 2026-10-28: 5, 1, 3, 2, 1, 2, 2, 2, 3, 1, 4, 3, 2, 2, 2, 3, 3, 0, 0, 1, 4, 2, 3, 2, 3, 2, 0, 5, 4, 2

## Spotted in now

- GitHub Trending Go today: #16, +4 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-28 18:26 UTC, updated every 30 minutes.