--- title: "prompts.chat vs langchain-tutorials" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-gkamradt-langchain-tutorials" tools: ["f-prompts-chat", "gkamradt-langchain-tutorials"] --- # prompts.chat vs langchain-tutorials *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; langchain-tutorials is Jupyter Notebook; pick langchain-tutorials when langchain-tutorials is primarily Jupyter Notebook; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [langchain-tutorials](https://github.com/gkamradt/langchain-tutorials) has 7.5k stars, 2.0k forks, and 15 open issues, last pushed Aug 5, 2024. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [langchain-tutorials's repository](https://github.com/gkamradt/langchain-tutorials). | | [prompts.chat](/tools/f-prompts-chat.md) | [langchain-tutorials](/tools/gkamradt-langchain-tutorials.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | Overview and tutorial of the LangChain Library | | Stars | 165,372 | 7,468 | | Forks | 21,400 | 2,018 | | Open issues | 60 | 15 | | Language | HTML | Jupyter Notebook | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | - | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [langchain-tutorials](/tools/gkamradt-langchain-tutorials.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 705d | | Open issues (now) | 60 | 15 | | Security scan | No lockfile | 174 low (174 low) | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/gkamradt-langchain-tutorials/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; langchain-tutorials is Jupyter Notebook. - Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt. - Critical decision points for evaluating `prompts.chat` ### Choose langchain-tutorials if… - langchain-tutorials is primarily Jupyter Notebook; prompts.chat is HTML. - Tags unique to langchain-tutorials: jupyter notebook. - Also covers Vector Databases. ## When NOT to use prompts.chat - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use langchain-tutorials - Last GitHub push was 706 days ago (dormant maintenance, Aug 5, 2024). Validate activity before betting a new project on langchain-tutorials. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between prompts.chat and langchain-tutorials? prompts.chat: Share, discover, and collect prompts from the community. langchain-tutorials: Overview and tutorial of the LangChain Library. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over langchain-tutorials? Choose prompts.chat over langchain-tutorials when prompts.chat is primarily HTML; langchain-tutorials is Jupyter Notebook; Tags unique to prompts.chat: ai, artificial-intelligence, awesome-list, chatgpt; Critical decision points for evaluating `prompts.chat`. ### When should I choose langchain-tutorials over prompts.chat? Choose langchain-tutorials over prompts.chat when langchain-tutorials is primarily Jupyter Notebook; prompts.chat is HTML; Tags unique to langchain-tutorials: jupyter notebook; Also covers Vector Databases. ### When should I avoid prompts.chat? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid langchain-tutorials? Last GitHub push was 706 days ago (dormant maintenance, Aug 5, 2024). Validate activity before betting a new project on langchain-tutorials. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is prompts.chat or langchain-tutorials more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 7,468). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and langchain-tutorials open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to prompts.chat or langchain-tutorials? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [langchain-tutorials alternatives](/tools/gkamradt-langchain-tutorials/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [langchain-tutorials markdown twin](/tools/gkamradt-langchain-tutorials/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/f-prompts-chat-vs-gkamradt-langchain-tutorials.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or langchain-tutorials? prompts.chat: Very active. langchain-tutorials: Dormant. 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 prompts.chat and langchain-tutorials? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [langchain-tutorials trust report](/tools/gkamradt-langchain-tutorials/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_