Comparison
go-streams vs awesome
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.
Markdown twin · go-streams alternatives · awesome alternatives
GraphCanon updated Sep 17, 2026
13views this month
vs
Trust & integrity
| Signal | go-streams | awesome |
|---|---|---|
| Maintenance | Slowing (245d since push) As of Sep 17, 2026 · github_public_v1 | Very active (2d since push) As of Sep 4, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 17, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 4, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | No lockfile (source not queried) As of Sep 6, 2026 · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Published findings As of Aug 16, 2026 · openssf-scorecard@v1 |
Tagline
- go-streams
- lightweight stream processing library for Go
- awesome
- 😎 Awesome lists about all kinds of interesting topics
Stars
- go-streams
- 2.2k
- awesome
- 503k
Forks
- go-streams
- 174
- awesome
- 37k
Open issues
- go-streams
- 12
- awesome
- 106
Language
- go-streams
- Go
- awesome
- -
Adopt for
- go-streams
- go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications.
- awesome
- A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.
Persona
- go-streams
- -
- awesome
- -
Runtime
- go-streams
- -
- awesome
- -
License
- go-streams
- MIT
- awesome
- CC0-1.0
Last pushed
- go-streams
- Jan 14, 2026
- awesome
- Sep 2, 2026
Categories
- go-streams
- Data & Retrieval, Developer Tools
- awesome
- Developer Tools
Trust and health
Maintenance
- go-streams
- Slowing (36%)
- awesome
- Very active (96%)
Days since push
- go-streams
- 245d
- awesome
- 2d
Open issues (now)
- go-streams
- 12
- awesome
- 106
Stars delta
- go-streams
- 0 (30d)
- awesome
- +11k (30d)
Open issues delta
- go-streams
- +1 (30d)
- awesome
- +6 (30d)
deps.dev advisories
- go-streams
- Not queried
- awesome
- No lockfile (source not queried)
OpenSSF Scorecard
- go-streams
- Not queried
- awesome
- Published findings
Full report
- go-streams
- Trust report
- awesome
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (reugn/go-streams) · observed Sep 17, 2026
- GitHub forks (reugn/go-streams) · observed Sep 17, 2026
- Last push (reugn/go-streams) · observed Jan 14, 2026
- License file (MIT) · observed Sep 17, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (sindresorhus/awesome) · observed Sep 4, 2026
- GitHub forks (sindresorhus/awesome) · observed Sep 4, 2026
- Last push (sindresorhus/awesome) · observed Sep 2, 2026
- License file (CC0-1.0) · observed Sep 4, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: go-streams 2.2k · awesome 503k (synced Sep 17, 2026).
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 and awesome alternatives (go-streams markdown twin, awesome markdown twin), 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 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; awesome trust report.