Comparison
bigcode-evaluation-harness vs deepeval
Verdict
Pick bigcode-evaluation-harness if bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments; pick deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Markdown twin · bigcode-evaluation-harness alternatives · deepeval alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | deepeval |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Very active (1d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- deepeval
- LLM Evaluation Framework.
Stars
- bigcode-evaluation-harness
- 1.1k
- deepeval
- 17k
Forks
- bigcode-evaluation-harness
- 261
- deepeval
- 1.7k
Open issues
- bigcode-evaluation-harness
- 96
- deepeval
- 404
Language
- bigcode-evaluation-harness
- Python
- deepeval
- Python
Adopt for
- bigcode-evaluation-harness
- bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments.
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
Persona
- bigcode-evaluation-harness
- -
- deepeval
- -
Runtime
- bigcode-evaluation-harness
- -
- deepeval
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- deepeval
- Apache-2.0 License
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- deepeval
- Jul 27, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- deepeval
- Evaluation & Observability
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- deepeval
- Very active (96%)
Days since push
- bigcode-evaluation-harness
- 378d
- deepeval
- 1d
Open issues (now)
- bigcode-evaluation-harness
- 96
- deepeval
- 404
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- deepeval
- No lockfile (source not queried)
Full report
- bigcode-evaluation-harness
- Trust report
- deepeval
- Trust report
Choose bigcode-evaluation-harness if…
- Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation..
- Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python.
- bigcode-evaluation-harness ships Docker support for self-hosted deployment.
- When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
When NOT to use bigcode-evaluation-harness
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker.
- If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
Choose deepeval if…
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: evaluation, llm-evaluation, metrics.
- When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
When NOT to use deepeval
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill.
- In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (confident-ai/deepeval) · observed Jul 28, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 28, 2026
- Last push (confident-ai/deepeval) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · deepeval 17k (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and deepeval?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. deepeval: LLM Evaluation Framework.. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over deepeval?
- Choose bigcode-evaluation-harness over deepeval when Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
- When should I choose deepeval over bigcode-evaluation-harness?
- Choose deepeval over bigcode-evaluation-harness when Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: evaluation, llm-evaluation, metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
- When should I avoid bigcode-evaluation-harness?
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
- When should I avoid deepeval?
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
- Is bigcode-evaluation-harness or deepeval more popular on GitHub?
- deepeval has more GitHub stars (17,226 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and deepeval open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, deepeval: Apache-2.0).
- Where can I find alternatives to bigcode-evaluation-harness or deepeval?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and deepeval alternatives (bigcode-evaluation-harness markdown twin, deepeval 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, bigcode-evaluation-harness or deepeval?
- bigcode-evaluation-harness: Dormant. deepeval: 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 bigcode-evaluation-harness and deepeval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; deepeval trust report.