--- title: "evidently vs langtrace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evidentlyai-evidently-vs-scale3-labs-langtrace" tools: ["evidentlyai-evidently", "scale3-labs-langtrace"] --- # evidently vs langtrace Neutral, constraint-first comparison with live GitHub stats. | | [evidently](/tools/evidentlyai-evidently.md) | [langtrace](/tools/scale3-labs-langtrace.md) | | --- | --- | --- | | Tagline | An open-source ML and LLM observability framework. | Open Source Observability for LLM Applications | | Stars | 7,673 | 1,213 | | Forks | 874 | 124 | | Open issues | 285 | 1 | | Language | Jupyter Notebook | TypeScript | | Adopt for | Evidently is a robust open-source Python library for evaluating, testing, and monitoring both machine learning (ML) and large language model (LLM) systems. It supports 100+ metrics and can handle diverse data types from | Langtrace is an open-source observability software that provides real-time monitoring and performance insights for applications leveraging LLM APIs, vector databases, and LLM-based frameworks through Open Telemetry. It's | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 implies that any changes made to the software must be released under the same license, which might limit its use in commercial products closed off to users. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [evidently](/tools/evidentlyai-evidently.md) | [langtrace](/tools/scale3-labs-langtrace.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 66d | 232d | | Open issues (now) | 285 | 1 | | Full report | [trust report](/tools/evidentlyai-evidently/trust.md) | [trust report](/tools/scale3-labs-langtrace/trust.md) | **Typed relationship:** evidently _(alternative)_ langtrace Both Evidently and Langtrace are observability frameworks designed to monitor and track LLM applications, making them alternatives for such tasks. ## Shared compatibility - **Python**: [evidently](/tools/evidentlyai-evidently.md) - Python runtime; [langtrace](/tools/scale3-labs-langtrace.md) - Python runtime ## Decision facts: evidently - **Adopt for:** Evidently is a robust open-source Python library for evaluating, testing, and monitoring both machine learning (ML) and large language model (LLM) systems. It supports 100+ metrics and can handle diverse data types from ## Decision facts: langtrace - **Requirements:** Self-hosting is available as an option if desired. - **Adopt for:** Langtrace is an open-source observability software that provides real-time monitoring and performance insights for applications leveraging LLM APIs, vector databases, and LLM-based frameworks through Open Telemetry. It's - **License detail:** AGPL-3.0 implies that any changes made to the software must be released under the same license, which might limit its use in commercial products closed off to users. ## Choose when ### Choose evidently if… - evidently is primarily Jupyter Notebook; langtrace is TypeScript. - License: evidently is Apache-2.0, langtrace is AGPL-3.0. - Both Evidently and Langtrace are observability frameworks designed to monitor and track LLM applications, making them alternatives for such tasks. - Tags unique to evidently: ml-pipelines, data-science, data-drift, machine-learning. - When you need comprehensive evaluation capabilities for generative AI tasks such as sentiment analysis, text length checks, or content validation. ### Choose langtrace if… - langtrace is primarily TypeScript; evidently is Jupyter Notebook. - License: langtrace is AGPL-3.0, evidently is Apache-2.0. - Requirements: Self-hosting is available as an option if desired.. - Both Evidently and Langtrace are observability frameworks designed to monitor and track LLM applications, making them alternatives for such tasks. - Tags unique to langtrace: evaluations, ai, datasets, observability. - langtrace ships Docker support for self-hosted deployment. - - When you are developing or managing applications that heavily rely on LLM APIs and want to capture, debug, and analyze traces and metrics in real-time using Open Telemetry. ## When NOT to use evidently - If you're working exclusively with non-textual generative AI models (like image generation) as Evidently primarily focuses on text-related metrics. - Evidently Cloud is available for enhanced features like dataset and user management but comes at an additional cost. For those not interested in subscriptions, the open-source version may suffice, but ## When NOT to use langtrace - - If you need proprietary features absent from the AGPL-3.0 open-source license, as Langtrace's nature may limit its use in closed or commercial projects. - - For organizations with existing observability solutions deeply integrated into their infrastructure that do not benefit significantly from adding an additional layer of monitoring. ## Common questions ### What is the difference between evidently and langtrace? evidently: An open-source ML and LLM observability framework.. langtrace: Open Source Observability for LLM Applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose evidently over langtrace? Choose evidently over langtrace when evidently is primarily Jupyter Notebook; langtrace is TypeScript; License: evidently is Apache-2.0, langtrace is AGPL-3.0; Both Evidently and Langtrace are observability frameworks designed to monitor and track LLM applications, making them alternatives for such tasks; Tags unique to evidently: ml-pipelines, data-science, data-drift, machine-learning; When you need comprehensive evaluation capabilities for generative AI tasks such as sentiment analysis, text length checks, or content validation. ### When should I choose langtrace over evidently? Choose langtrace over evidently when langtrace is primarily TypeScript; evidently is Jupyter Notebook; License: langtrace is AGPL-3.0, evidently is Apache-2.0; Requirements: Self-hosting is available as an option if desired.; Both Evidently and Langtrace are observability frameworks designed to monitor and track LLM applications, making them alternatives for such tasks; Tags unique to langtrace: evaluations, ai, datasets, observability; langtrace ships Docker support for self-hosted deployment; - When you are developing or managing applications that heavily rely on LLM APIs and want to capture, debug, and analyze traces and metrics in real-time using Open Telemetry. ### When should I avoid evidently? If you're working exclusively with non-textual generative AI models (like image generation) as Evidently primarily focuses on text-related metrics. Evidently Cloud is available for enhanced features like dataset and user management but comes at an additional cost. For those not interested in subscriptions, the open-source version may suffice, but ### When should I avoid langtrace? - If you need proprietary features absent from the AGPL-3.0 open-source license, as Langtrace's nature may limit its use in closed or commercial projects. - For organizations with existing observability solutions deeply integrated into their infrastructure that do not benefit significantly from adding an additional layer of monitoring. ### Is evidently or langtrace more popular on GitHub? evidently has more GitHub stars (7,673 vs 1,213). Stars measure visibility, not whether either tool fits your constraints. ### Are evidently and langtrace open source? Yes - both are open-source projects on GitHub (evidently: Apache-2.0, langtrace: AGPL-3.0). ### Where can I find alternatives to evidently or langtrace? GraphCanon lists graph-backed alternatives at /tools/evidentlyai-evidently/alternatives and /tools/scale3-labs-langtrace/alternatives (/tools/evidentlyai-evidently/alternatives.md, /tools/scale3-labs-langtrace/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 /compare/evidentlyai-evidently-vs-scale3-labs-langtrace.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, evidently or langtrace? evidently: Steady. langtrace: 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 evidently and langtrace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently: /tools/evidentlyai-evidently/trust; langtrace: /tools/scale3-labs-langtrace/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=evidentlyai-evidently`](/api/graphcanon/graph?tool=evidentlyai-evidently) - 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/_