Comparison
ALERT vs bigcode-evaluation-harness
Verdict
Pick ALERT if aLERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation; 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.
Markdown twin · ALERT alternatives · bigcode-evaluation-harness alternatives
GraphCanon updated Sep 10, 2026
8views this month
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Trust & integrity
| Signal | ALERT | bigcode-evaluation-harness |
|---|---|---|
| Maintenance | Dormant (719d since push) As of Sep 10, 2026 · github_public_v1 | Dormant (409d since push) As of Sep 5, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 10, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 5, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of Jul 15, 2026 · osv@v1 | Published findings 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
- ALERT
- A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
Stars
- ALERT
- 59
- bigcode-evaluation-harness
- 1.1k
Forks
- ALERT
- 8
- bigcode-evaluation-harness
- 259
Open issues
- ALERT
- 0
- bigcode-evaluation-harness
- 96
Language
- ALERT
- Python
- bigcode-evaluation-harness
- Python
Adopt for
- ALERT
- ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation.
- 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.
Persona
- ALERT
- -
- bigcode-evaluation-harness
- -
Runtime
- ALERT
- -
- bigcode-evaluation-harness
- -
License
- ALERT
- Other
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
Last pushed
- ALERT
- Sep 20, 2024
- bigcode-evaluation-harness
- Jul 22, 2025
Categories
- ALERT
- Evaluation & Observability
- bigcode-evaluation-harness
- Evaluation & Observability
Trust and health
Days since push
- ALERT
- 719d
- bigcode-evaluation-harness
- 409d
Open issues (now)
- ALERT
- 0
- bigcode-evaluation-harness
- 96
Stars delta
- ALERT
- 0 (30d)
- bigcode-evaluation-harness
- +3 (30d)
OSV dependency advisories
- ALERT
- No published findings from this source as of 2026-07-15
- bigcode-evaluation-harness
- Published findings
Full report
- ALERT
- Trust report
- bigcode-evaluation-harness
- Trust report
Choose ALERT if…
- License: ALERT is Other, bigcode-evaluation-harness is Apache-2.0.
- Tags unique to ALERT: ai, artificial-intelligence, benchmark, bias-detection.
- When evaluating safety metrics of large language models through red-teaming approaches
When NOT to use ALERT
- If your evaluation does not require bias detection or safety assessment under adversarial conditions
- In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks
Choose bigcode-evaluation-harness if…
- License: bigcode-evaluation-harness is Apache-2.0, ALERT is Other.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Babelscape/ALERT) · observed Sep 10, 2026
- GitHub forks (Babelscape/ALERT) · observed Sep 10, 2026
- Last push (Babelscape/ALERT) · observed Sep 20, 2024
- License file (Other) · observed Sep 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (bigcode-project/bigcode-evaluation-harness) · observed Sep 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Sep 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Sep 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ALERT 59 · bigcode-evaluation-harness 1.1k (synced Sep 10, 2026).
Common questions
- What is the difference between ALERT and bigcode-evaluation-harness?
- ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming. bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ALERT over bigcode-evaluation-harness?
- Choose ALERT over bigcode-evaluation-harness when License: ALERT is Other, bigcode-evaluation-harness is Apache-2.0; Tags unique to ALERT: ai, artificial-intelligence, benchmark, bias-detection; When evaluating safety metrics of large language models through red-teaming approaches.
- When should I choose bigcode-evaluation-harness over ALERT?
- Choose bigcode-evaluation-harness over ALERT when License: bigcode-evaluation-harness is Apache-2.0, ALERT is Other; 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 avoid ALERT?
- If your evaluation does not require bias detection or safety assessment under adversarial conditions In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks
- 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.
- Is ALERT or bigcode-evaluation-harness more popular on GitHub?
- bigcode-evaluation-harness has more GitHub stars (1,058 vs 59). Stars measure visibility, not whether either tool fits your constraints.
- Are ALERT and bigcode-evaluation-harness open source?
- Yes - both are open-source projects on GitHub (ALERT: Other, bigcode-evaluation-harness: Apache-2.0).
- Where can I find alternatives to ALERT or bigcode-evaluation-harness?
- GraphCanon lists graph-backed alternatives at ALERT alternatives and bigcode-evaluation-harness alternatives (ALERT markdown twin, bigcode-evaluation-harness 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, ALERT or bigcode-evaluation-harness?
- ALERT: Dormant. bigcode-evaluation-harness: 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 ALERT and bigcode-evaluation-harness?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ALERT trust report; bigcode-evaluation-harness trust report.