--- title: "airflow vs langevals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-airflow-vs-langwatch-langevals" tools: ["apache-airflow", "langwatch-langevals"] --- # airflow vs langevals *GraphCanon updated Jul 15, 2026* ## Verdict Pick airflow when tags unique to airflow: airflow, apache, apache-airflow, automation; pick langevals when tags unique to langevals: evaluation, guardrails, llm, openai. [airflow](https://airflow.apache.org/) reports 46k GitHub stars, 17k forks, and 1.7k open issues, last pushed Jul 15, 2026. [langevals](https://langwatch.ai/) has 72 stars, 9 forks, and 18 open issues, last pushed Feb 15, 2026. Figures are from public GitHub metadata via [airflow's repository](https://github.com/apache/airflow) and [langevals's repository](https://github.com/langwatch/langevals). | | [airflow](/tools/apache-airflow.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Tagline | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows | LangEvals aggregates various language model evaluators into a single platform, providing a standard interface for a multitude of scores and LLM guardrails, for you to protect and benchmark your LLM mo | | Stars | 46,124 | 72 | | Forks | 17,387 | 9 | | Open issues | 1,728 | 18 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | AI Agents, Computer Vision, Data & Retrieval | Data & Retrieval, Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airflow](/tools/apache-airflow.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 149d | | Open issues (now) | 1.7k | 18 | | Full report | [trust report](/tools/apache-airflow/trust.md) | [trust report](/tools/langwatch-langevals/trust.md) | ## Choose when ### Choose airflow if… - Tags unique to airflow: airflow, apache, apache-airflow, automation. - Also covers AI Agents, Computer Vision. - airflow ships Docker support for self-hosted deployment. ### Choose langevals if… - Tags unique to langevals: evaluation, guardrails, llm, openai. - Also covers Evaluation & Observability, LLM Frameworks. - Leaner open-issue backlog (18). ## When NOT to use airflow - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use langevals - Last GitHub push was 149 days ago (slowing maintenance, Feb 15, 2026). Validate activity before betting a new project on langevals. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between airflow and langevals? airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. langevals: LangEvals aggregates various language model evaluators into a single platform, providing a standard interface for a multitude of scores and LLM guardrails, for you to protect and benchmark your LLM mo. See the comparison table for live GitHub stats and shared categories. ### When should I choose airflow over langevals? Choose airflow over langevals when Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers AI Agents, Computer Vision; airflow ships Docker support for self-hosted deployment. ### When should I choose langevals over airflow? Choose langevals over airflow when Tags unique to langevals: evaluation, guardrails, llm, openai; Also covers Evaluation & Observability, LLM Frameworks; Leaner open-issue backlog (18). ### When should I avoid airflow? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 langevals? Last GitHub push was 149 days ago (slowing maintenance, Feb 15, 2026). Validate activity before betting a new project on langevals. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is airflow or langevals more popular on GitHub? airflow has more GitHub stars (46,124 vs 72). Stars measure visibility, not whether either tool fits your constraints. ### Are airflow and langevals open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to airflow or langevals? GraphCanon lists graph-backed alternatives at [airflow alternatives](/tools/apache-airflow/alternatives) and [langevals alternatives](/tools/langwatch-langevals/alternatives) ([airflow markdown twin](/tools/apache-airflow/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/apache-airflow-vs-langwatch-langevals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airflow or langevals? airflow: Very active. langevals: Slowing. 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 airflow and langevals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airflow trust report](/tools/apache-airflow/trust); [langevals trust report](/tools/langwatch-langevals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-airflow`](/api/graphcanon/graph?tool=apache-airflow) - 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/_