Home/Compare/eval-view vs langwatch

Comparison

eval-view vs langwatch

Verdict

Pick eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time; pick langwatch if langWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.

Markdown twin · eval-view alternatives · langwatch alternatives

GraphCanon updated 1w

eval-view logo

eval-view

hidai25/eval-view

126pushed Jul 26, 2026
vs
langwatch logo

langwatch

langwatch/langwatch

3.5kpushed Aug 7, 2026

Trust & integrity

Signaleval-viewlangwatch
Maintenance
Very active (6d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
As of 1mo · 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

eval-view
Regression testing for AI agents
langwatch
The platform for LLM evaluations and AI agent testing

Stars

eval-view
126
langwatch
3.5k

Forks

eval-view
21
langwatch
340

Open issues

eval-view
3
langwatch
777

Language

eval-view
Python
langwatch
TypeScript

Adopt for

eval-view
Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
langwatch
LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.

Persona

eval-view
-
langwatch
-

Runtime

eval-view
-
langwatch
-

License

eval-view
The software uses the Apache-2.0 license, offering permissive terms for use and distribution.
langwatch
LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license.

Last pushed

eval-view
Jul 26, 2026
langwatch
Aug 7, 2026

Categories

eval-view
AI Agents, Evaluation & Observability
langwatch
AI Agents, Evaluation & Observability

Trust and health

Days since push

eval-view
6d
langwatch
0d

Open issues (now)

eval-view
3
langwatch
777

Stars delta

eval-view
Unknown
langwatch
+152 (30d)

Open issues delta

eval-view
Unknown
langwatch
+103 (30d)

Owner type

eval-view
User
langwatch
Organization

OSV dependency advisories

eval-view
No lockfile (source not queried)
langwatch
No published findings from this source as of 2026-07-11

Full report

eval-view
Trust report
langwatch
Trust report

Shared compatibility

  • Python · eval-view: Python runtime · langwatch: Python runtime

Choose eval-view if…

  • eval-view is primarily Python; langwatch is TypeScript.
  • Pricing: Free to use under the terms of the Apache License, Version 2.0..
  • Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality..
  • Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, regression-testing.
  • eval-view ships Docker support for self-hosted deployment.
  • When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.

When NOT to use eval-view

  • If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time.
  • When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.

Choose langwatch if…

  • langwatch is primarily TypeScript; eval-view is Python.
  • Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license..
  • Tags unique to langwatch: ai, analytics, datasets, evaluation.
  • You need to evaluate LLMs and test AI agents in a controlled environment.

When NOT to use langwatch

  • If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting.
  • You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: eval-view 126 · langwatch 3.5k (synced Aug 2, 2026).

Common questions

What is the difference between eval-view and langwatch?
eval-view: Regression testing for AI agents. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories.
When should I choose eval-view over langwatch?
Choose eval-view over langwatch when eval-view is primarily Python; langwatch is TypeScript; Pricing: Free to use under the terms of the Apache License, Version 2.0.; Requirements: Python environment is required for installation and usage.; Installation with pip: pip install evalview; Offline support means no live API keys necessary for the basic diff functionality.; Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, regression-testing; eval-view ships Docker support for self-hosted deployment; When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.
When should I choose langwatch over eval-view?
Choose langwatch over eval-view when langwatch is primarily TypeScript; eval-view is Python; Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.; Tags unique to langwatch: ai, analytics, datasets, evaluation; You need to evaluate LLMs and test AI agents in a controlled environment.
When should I avoid eval-view?
If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time. When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
When should I avoid langwatch?
If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.
Is eval-view or langwatch more popular on GitHub?
langwatch has more GitHub stars (3,479 vs 126). Stars measure visibility, not whether either tool fits your constraints.
Are eval-view and langwatch open source?
Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, langwatch: Apache-2.0).
Where can I find alternatives to eval-view or langwatch?
GraphCanon lists graph-backed alternatives at eval-view alternatives and langwatch alternatives (eval-view markdown twin, langwatch 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, eval-view or langwatch?
eval-view: Very active. langwatch: 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 eval-view and langwatch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; langwatch trust report.

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