--- title: "airflow vs go-streams" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-reugn-go-streams" tools: ["apache-airflow", "reugn-go-streams"] --- # airflow vs go-streams *GraphCanon updated Jul 15, 2026* ## Verdict Pick airflow when airflow is primarily Python; go-streams is Go; pick go-streams when go-streams is primarily Go; airflow is Python. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 17k forks, and 1.7k open issues, last pushed Jul 15, 2026. [go-streams](https://pkg.go.dev/github.com/reugn/go-streams) has 2.2k stars, 174 forks, and 11 open issues, last pushed Jan 14, 2026. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [go-streams's repository](https://github.com/reugn/go-streams). | | [airflow](/tools/apache-airflow.md) | [go-streams](/tools/reugn-go-streams.md) | | --- | --- | --- | | Tagline | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | A lightweight stream processing library for Go | | Stars | 46,124 | 2,174 | | Forks | 17,387 | 174 | | Open issues | 1,728 | 11 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Computer Vision, Data & Retrieval | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [go-streams](/tools/reugn-go-streams.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 181d | | Open issues (now) | 1.7k | 11 | | Owner type | Organization | User | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/reugn-go-streams/trust.md) | ## Choose when ### Choose airflow if… - airflow is primarily Python; go-streams is Go. - License: airflow is Apache-2.0, go-streams is MIT. - Tags unique to airflow: airflow, apache, apache-airflow, automation. - Also covers AI Agents, Computer Vision. - airflow ships Docker support for self-hosted deployment. ### Choose go-streams if… - go-streams is primarily Go; airflow is Python. - License: go-streams is MIT, airflow is Apache-2.0. - Tags unique to go-streams: aerospike, data-pipeline, data-stream, etl. ## When NOT to use airflow - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use go-streams - Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on go-streams. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## Common questions ### What is the difference between airflow and go-streams? airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. go-streams: A lightweight stream processing library for Go. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over go-streams? Choose airflow over go-streams when airflow is primarily Python; go-streams is Go; License: airflow is Apache-2.0, go-streams is MIT; Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers AI Agents, Computer Vision; airflow ships Docker support for self-hosted deployment. ### When should I choose go-streams over airflow? Choose go-streams over airflow when go-streams is primarily Go; airflow is Python; License: go-streams is MIT, airflow is Apache-2.0; Tags unique to go-streams: aerospike, data-pipeline, data-stream, etl. ### When should I avoid airflow? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### When should I avoid go-streams? Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on go-streams. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### Is airflow or go-streams more popular on GitHub? airflow has more GitHub stars (46,124 vs 2,174). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and go-streams open source? Yes - both are open-source projects on GitHub (airflow: Apache-2.0, go-streams: MIT). ### Where can I find alternatives to airflow or go-streams? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [go-streams alternatives](/tools/reugn-go-streams/alternatives) ([airflow markdown twin](/tools/apache-airflow/alternatives.md), [go-streams markdown twin](/tools/reugn-go-streams/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/apache-airflow-vs-reugn-go-streams.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or go-streams? airflow: Very active. go-streams: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for airflow and go-streams? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [go-streams trust report](/tools/reugn-go-streams/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-airflow`](/api/graphcanon/graph?tool=apache-airflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_