Comparison
go-streams vs awesome-llm-apps
Verdict
Pick go-streams when go-streams is primarily Go; awesome-llm-apps is Python; pick awesome-llm-apps when awesome-llm-apps is primarily Python; go-streams is Go.
Markdown twin · go-streams alternatives · awesome-llm-apps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | go-streams | awesome-llm-apps |
|---|---|---|
| Maintenance | Slowing (181d since push) As of today · github_public_v1 | Very active (3d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- go-streams
- A lightweight stream processing library for Go
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- go-streams
- 2.2k
- awesome-llm-apps
- 120k
Forks
- go-streams
- 174
- awesome-llm-apps
- 18k
Open issues
- go-streams
- 11
- awesome-llm-apps
- 17
Language
- go-streams
- Go
- awesome-llm-apps
- Python
Adopt for
- go-streams
- -
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- go-streams
- -
- awesome-llm-apps
- -
Runtime
- go-streams
- -
- awesome-llm-apps
- -
License
- go-streams
- MIT
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- go-streams
- Jan 14, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- go-streams
- Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- go-streams
- Slowing (36%)
- awesome-llm-apps
- Very active (96%)
Days since push
- go-streams
- 181d
- awesome-llm-apps
- 3d
Open issues (now)
- go-streams
- 11
- awesome-llm-apps
- 17
Full report
- go-streams
- Trust report
- awesome-llm-apps
- Trust report
Choose go-streams if…
- go-streams is primarily Go; awesome-llm-apps is Python.
- License: go-streams is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to go-streams: aerospike, data-pipeline, data-stream, etl.
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.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; go-streams is Go.
- License: awesome-llm-apps is Apache-2.0, go-streams is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers AI Agents.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
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 Jul 15, 2026
- GitHub forks (reugn/go-streams) · observed Jul 15, 2026
- Last push (reugn/go-streams) · observed Jan 14, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: go-streams 2.2k · awesome-llm-apps 120k (synced Jul 15, 2026).
Common questions
- What is the difference between go-streams and awesome-llm-apps?
- go-streams: A lightweight stream processing library for Go. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose go-streams over awesome-llm-apps?
- Choose go-streams over awesome-llm-apps when go-streams is primarily Go; awesome-llm-apps is Python; License: go-streams is MIT, awesome-llm-apps is Apache-2.0; Tags unique to go-streams: aerospike, data-pipeline, data-stream, etl.
- When should I choose awesome-llm-apps over go-streams?
- Choose awesome-llm-apps over go-streams when awesome-llm-apps is primarily Python; go-streams is Go; License: awesome-llm-apps is Apache-2.0, go-streams is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- 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.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is go-streams or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (119,936 vs 2,174). Stars measure visibility, not whether either tool fits your constraints.
- Are go-streams and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (go-streams: MIT, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to go-streams or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at go-streams alternatives and awesome-llm-apps alternatives (go-streams markdown twin, awesome-llm-apps 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-llm-apps?
- go-streams: Slowing. awesome-llm-apps: 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-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: go-streams trust report; awesome-llm-apps trust report.