Comparison
bigcode-evaluation-harness vs gorilla
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 gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Markdown twin · bigcode-evaluation-harness alternatives · gorilla alternatives
GraphCanon updated Oct 6, 2026
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Trust & integrity
| Signal | bigcode-evaluation-harness | gorilla |
|---|---|---|
| Maintenance | Dormant (440d since push) As of Oct 6, 2026 · github_public_v1 | Slowing (147d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 6, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 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
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- gorilla
- Training and Evaluating LLMs for Function Calls (Tool Calls)
Stars
- bigcode-evaluation-harness
- 1.1k
- gorilla
- 13k
Forks
- bigcode-evaluation-harness
- 262
- gorilla
- 1.4k
Open issues
- bigcode-evaluation-harness
- 99
- gorilla
- 278
Language
- bigcode-evaluation-harness
- Python
- gorilla
- 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.
- gorilla
- Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Persona
- bigcode-evaluation-harness
- -
- gorilla
- -
Runtime
- bigcode-evaluation-harness
- -
- gorilla
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- gorilla
- Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes.
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- gorilla
- Apr 13, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- gorilla
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- gorilla
- Slowing (36%)
Days since push
- bigcode-evaluation-harness
- 440d
- gorilla
- 147d
Open issues (now)
- bigcode-evaluation-harness
- 99
- gorilla
- 278
Stars delta
- bigcode-evaluation-harness
- +4 (30d)
- gorilla
- +29 (30d)
Open issues delta
- bigcode-evaluation-harness
- +3 (30d)
- gorilla
- +6 (30d)
Owner type
- bigcode-evaluation-harness
- Organization
- gorilla
- User
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- gorilla
- No lockfile (source not queried)
Full report
- bigcode-evaluation-harness
- Trust report
- gorilla
- 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 gorilla if…
- Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning..
- Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api.
- Also covers Model Training.
- You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively.
When NOT to use gorilla
- Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs.
- If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard.
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 Oct 6, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Oct 6, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ShishirPatil/gorilla) · observed Sep 20, 2026
- GitHub forks (ShishirPatil/gorilla) · observed Sep 20, 2026
- Last push (ShishirPatil/gorilla) · observed Apr 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · gorilla 13k (synced Oct 6, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and gorilla?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls). See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over gorilla?
- Choose bigcode-evaluation-harness over gorilla 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 gorilla over bigcode-evaluation-harness?
- Choose gorilla over bigcode-evaluation-harness when Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning.; Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api; Also covers Model Training; You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively.
- 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 gorilla?
- Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs. If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard.
- Is bigcode-evaluation-harness or gorilla more popular on GitHub?
- gorilla has more GitHub stars (13,017 vs 1,062). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and gorilla open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, gorilla: Apache-2.0).
- Where can I find alternatives to bigcode-evaluation-harness or gorilla?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and gorilla alternatives (bigcode-evaluation-harness markdown twin, gorilla 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 gorilla?
- bigcode-evaluation-harness: Dormant. gorilla: 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 bigcode-evaluation-harness and gorilla?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; gorilla trust report.