--- title: "futureagi-sdk vs langevals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-futureagi-sdk-vs-langwatch-langevals" tools: ["future-agi-futureagi-sdk", "langwatch-langevals"] --- # futureagi-sdk vs langevals *GraphCanon updated Sep 20, 2026* ## Verdict Pick futureagi-sdk if futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript; pick langevals if langEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. [futureagi-sdk](https://app.futureagi.com) reports 51 GitHub stars, 8 forks, and 4 open issues, last pushed Jul 8, 2026. [langevals](https://langwatch.ai/) has 72 stars, 10 forks, and 0 open issues, last pushed Feb 15, 2026. Figures are from public GitHub metadata via [futureagi-sdk's repository](https://github.com/future-agi/futureagi-sdk) and [langevals's repository](https://github.com/langwatch/langevals). | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Tagline | Production-grade AI evaluation, prompt management & observability SDK | Provides a platform for evaluating and benchmarking LLM models using various evaluators | | Stars | 51 | 72 | | Forks | 8 | 10 | | Open issues | 4 | 0 | | Language | Python | - | | Adopt for | futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript. | LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Archived (8%) | | Days since push | 71d | 209d | | Archived on GitHub | No | Yes | | Open issues (now) | 4 | 0 | | Stars delta | +3 (30d) | 0 (30d) | | Open issues delta | +1 (30d) | -18 (30d) | | Full report | [trust report](/tools/future-agi-futureagi-sdk/trust.md) | [trust report](/tools/langwatch-langevals/trust.md) | ## Decision facts: futureagi-sdk - **Pricing:** freemium - The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis. - **Requirements:** Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration. - **Adopt for:** futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript. - **License detail:** Apache-2.0 ## Decision facts: langevals - **Pricing:** unknown - **Adopt for:** LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. ## Choose when ### Choose futureagi-sdk if… - Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.. - Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.. - Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset. - When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention. ### Choose langevals if… - Tags unique to langevals: guardrails, llm, openai. - When you need a singular point of access to multiple LLM evaluation tools - More GitHub stars (72 vs 51) - visibility, not fit. ## When NOT to use futureagi-sdk - If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. - When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop. ## When NOT to use langevals - If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option - When needing to customize evaluation processes extensively beyond what the provided standard interface allows ## Common questions ### What is the difference between futureagi-sdk and langevals? futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. langevals: Provides a platform for evaluating and benchmarking LLM models using various evaluators. See the comparison table for live GitHub stats and shared categories. ### When should I choose futureagi-sdk over langevals? Choose futureagi-sdk over langevals when Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.; Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.; Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset; When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention. ### When should I choose langevals over futureagi-sdk? Choose langevals over futureagi-sdk when Tags unique to langevals: guardrails, llm, openai; When you need a singular point of access to multiple LLM evaluation tools; More GitHub stars (72 vs 51) - visibility, not fit. ### When should I avoid futureagi-sdk? If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop. ### When should I avoid langevals? If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option When needing to customize evaluation processes extensively beyond what the provided standard interface allows ### Is futureagi-sdk or langevals more popular on GitHub? langevals has more GitHub stars (72 vs 51). Stars measure visibility, not whether either tool fits your constraints. ### Are futureagi-sdk and langevals open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to futureagi-sdk or langevals? GraphCanon lists graph-backed alternatives at [futureagi-sdk alternatives](/tools/future-agi-futureagi-sdk/alternatives) and [langevals alternatives](/tools/langwatch-langevals/alternatives) ([futureagi-sdk markdown twin](/tools/future-agi-futureagi-sdk/alternatives.md), [langevals markdown twin](/tools/langwatch-langevals/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/future-agi-futureagi-sdk-vs-langwatch-langevals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, futureagi-sdk or langevals? futureagi-sdk: Steady. langevals: Archived. 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 futureagi-sdk and langevals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [futureagi-sdk trust report](/tools/future-agi-futureagi-sdk/trust); [langevals trust report](/tools/langwatch-langevals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-futureagi-sdk`](/api/graphcanon/graph?tool=future-agi-futureagi-sdk) - 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/_