Comparison
MixEval vs DevEval
Verdict
Pick MixEval if mixEval offers a comprehensive evaluation suite and dynamic data release tailored for large language models (LLMs) and multimodal systems, supporting a variety of benchmarking needs; pick DevEval if devEval suits organizations requiring Python-centric software development benchmarks and practices evaluation.
Markdown twin · MixEval alternatives · DevEval alternatives
GraphCanon updated Oct 8, 2026
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Trust & integrity
| Signal | MixEval | DevEval |
|---|---|---|
| Maintenance | Dormant (679d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (860d since push) As of Oct 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 8, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- MixEval
- Evaluation suite and dynamic data release for MixEval
- DevEval
- A Comprehensive Benchmark for Software Development
Stars
- MixEval
- 254
- DevEval
- 138
Forks
- MixEval
- 40
- DevEval
- 13
Open issues
- MixEval
- 7
- DevEval
- 0
Language
- MixEval
- Python
- DevEval
- Python
Adopt for
- MixEval
- MixEval offers a comprehensive evaluation suite and dynamic data release tailored for large language models (LLMs) and multimodal systems, supporting a variety of benchmarking needs.
- DevEval
- DevEval suits organizations requiring Python-centric software development benchmarks and practices evaluation.
Persona
- MixEval
- -
- DevEval
- -
Runtime
- MixEval
- -
- DevEval
- -
License
- MixEval
- -
- DevEval
- Apache-2.0
Last pushed
- MixEval
- Nov 10, 2024
- DevEval
- May 30, 2024
Categories
- MixEval
- Evaluation & Observability
- DevEval
- Evaluation & Observability
Trust and health
Days since push
- MixEval
- 679d
- DevEval
- 860d
Open issues (now)
- MixEval
- 7
- DevEval
- 0
Owner type
- MixEval
- User
- DevEval
- Organization
OSV dependency advisories
- MixEval
- Published findings
- DevEval
- No lockfile (source not queried)
Full report
- MixEval
- Trust report
- DevEval
- Trust report
Choose MixEval if…
- Requirements: Min 8 GB RAM; Python environment setup is required. Ensure Python version 3.11 is used, as specified in the README excerpt.; A conda environment named 'MixEval' must be created and activated..
- Tags unique to MixEval: evaluation-framework, foundation models, large-language-models, large-multimodal-models.
- You need to evaluate LLMs and multimodal models within the same framework, as MixEval is designed with support for both types of models.
When NOT to use MixEval
- You are looking for a lightweight solution since MixEval focuses on providing exhaustive evaluation with extensive benchmarking possibilities which may increase complexity.
- Your primary focus is on models outside the scope of LLMs or multimodal systems, as MixEval primarily targets these specific types of AI architectures.
Choose DevEval if…
- Tags unique to DevEval: docker-supported, python, software-development.
- Choose DevEval when you require comprehensive benchmarking specifically for software development using Python.
- Leaner open-issue backlog (0).
When NOT to use DevEval
- Avoid DevEval if your software projects heavily rely on languages other than Python.
- Do not use it when a non-Dockerized evaluation tool is preferred due to organizational constraints or preferences.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (JinjieNi/MixEval) · observed Sep 20, 2026
- GitHub forks (JinjieNi/MixEval) · observed Sep 20, 2026
- Last push (JinjieNi/MixEval) · observed Nov 10, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (open-compass/DevEval) · observed Oct 8, 2026
- GitHub forks (open-compass/DevEval) · observed Oct 8, 2026
- Last push (open-compass/DevEval) · observed May 30, 2024
- License file (Apache-2.0) · observed Oct 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MixEval 254 · DevEval 138 (synced Sep 20, 2026).
Common questions
- What is the difference between MixEval and DevEval?
- MixEval: Evaluation suite and dynamic data release for MixEval. DevEval: A Comprehensive Benchmark for Software Development. See the comparison table for live GitHub stats and shared categories.
- When should I choose MixEval over DevEval?
- Choose MixEval over DevEval when Requirements: Min 8 GB RAM; Python environment setup is required. Ensure Python version 3.11 is used, as specified in the README excerpt.; A conda environment named 'MixEval' must be created and activated.; Tags unique to MixEval: evaluation-framework, foundation models, large-language-models, large-multimodal-models; You need to evaluate LLMs and multimodal models within the same framework, as MixEval is designed with support for both types of models.
- When should I choose DevEval over MixEval?
- Choose DevEval over MixEval when Tags unique to DevEval: docker-supported, python, software-development; Choose DevEval when you require comprehensive benchmarking specifically for software development using Python; Leaner open-issue backlog (0).
- When should I avoid MixEval?
- You are looking for a lightweight solution since MixEval focuses on providing exhaustive evaluation with extensive benchmarking possibilities which may increase complexity. Your primary focus is on models outside the scope of LLMs or multimodal systems, as MixEval primarily targets these specific types of AI architectures.
- When should I avoid DevEval?
- Avoid DevEval if your software projects heavily rely on languages other than Python. Do not use it when a non-Dockerized evaluation tool is preferred due to organizational constraints or preferences.
- Is MixEval or DevEval more popular on GitHub?
- MixEval has more GitHub stars (254 vs 138). Stars measure visibility, not whether either tool fits your constraints.
- Are MixEval and DevEval open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to MixEval or DevEval?
- GraphCanon lists graph-backed alternatives at MixEval alternatives and DevEval alternatives (MixEval markdown twin, DevEval 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, MixEval or DevEval?
- MixEval: Dormant. DevEval: Dormant. 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 MixEval and DevEval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MixEval trust report; DevEval trust report.