--- title: "go-streams vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/reugn-go-streams-vs-sindresorhus-awesome" tools: ["reugn-go-streams", "sindresorhus-awesome"] --- # go-streams vs awesome *GraphCanon updated Sep 20, 2026* ## Verdict Pick go-streams if go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications; pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. [go-streams](https://pkg.go.dev/github.com/reugn/go-streams) reports 2.2k GitHub stars, 174 forks, and 12 open issues, last pushed Jan 14, 2026. [awesome](https://github.com/sindresorhus/awesome) has 503k stars, 37k forks, and 106 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [go-streams's repository](https://github.com/reugn/go-streams) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [go-streams](/tools/reugn-go-streams.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | lightweight stream processing library for Go | 😎 Awesome lists about all kinds of interesting topics | | Stars | 2,172 | 502,873 | | Forks | 174 | 36,704 | | Open issues | 12 | 106 | | Language | Go | - | | Adopt for | go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications. | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | Data & Retrieval, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [go-streams](/tools/reugn-go-streams.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 245d | 2d | | Open issues (now) | 12 | 106 | | Stars delta | 0 (30d) | +11k (30d) | | Open issues delta | +1 (30d) | +6 (30d) | | Full report | [trust report](/tools/reugn-go-streams/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: go-streams - **Adopt for:** go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications. ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose go-streams if… - License: go-streams is MIT, awesome is CC0-1.0. - Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code. - Also covers Data & Retrieval. - When you need a lightweight solution for handling streams in Go projects. ### Choose awesome if… - License: awesome is CC0-1.0, go-streams is MIT. - Tags unique to awesome: awesome, awesome-list, lists, resources. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use go-streams - In scenarios where a more robust framework with extended features beyond lightweight streams is required. - For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools. ## When NOT to use awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between go-streams and awesome? go-streams: lightweight stream processing library for Go. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose go-streams over awesome? Choose go-streams over awesome when License: go-streams is MIT, awesome is CC0-1.0; Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code; Also covers Data & Retrieval; When you need a lightweight solution for handling streams in Go projects. ### When should I choose awesome over go-streams? Choose awesome over go-streams when License: awesome is CC0-1.0, go-streams is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid go-streams? In scenarios where a more robust framework with extended features beyond lightweight streams is required. For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools. ### When should I avoid awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is go-streams or awesome more popular on GitHub? awesome has more GitHub stars (502,873 vs 2,172). Stars measure visibility, not whether either tool fits your constraints. ### Are go-streams and awesome open source? Yes - both are open-source projects on GitHub (go-streams: MIT, awesome: CC0-1.0). ### Where can I find alternatives to go-streams or awesome? GraphCanon lists graph-backed alternatives at [go-streams alternatives](/tools/reugn-go-streams/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([go-streams markdown twin](/tools/reugn-go-streams/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/reugn-go-streams-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, go-streams or awesome? go-streams: Slowing. awesome: Very active. 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 go-streams and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [go-streams trust report](/tools/reugn-go-streams/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=reugn-go-streams`](/api/graphcanon/graph?tool=reugn-go-streams) - 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/_