Comparison
BizFinBench vs do-not-answer
Verdict
Pick BizFinBench if bizFinBench is a finance-specific benchmark for evaluating large language models in real-world business settings; pick do-not-answer if dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses.
Markdown twin · BizFinBench alternatives · do-not-answer alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | BizFinBench | do-not-answer |
|---|---|---|
| Maintenance | Steady (88d since push) As of 3w · github_public_v1 | Dormant (788d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- BizFinBench
- A Business-Driven Real-World Financial Benchmark for Evaluating LLMs
- do-not-answer
- A Dataset for Evaluating Safeguards in LLMs
Stars
- BizFinBench
- 168
- do-not-answer
- 339
Forks
- BizFinBench
- 12
- do-not-answer
- 29
Open issues
- BizFinBench
- 0
- do-not-answer
- 0
Language
- BizFinBench
- Python
- do-not-answer
- Jupyter Notebook
Adopt for
- BizFinBench
- BizFinBench is a finance-specific benchmark for evaluating large language models in real-world business settings.
- do-not-answer
- Dataset for evaluating safeguards in LLMs to ensure ethical compliance, distributed under both Creative Commons and Apache licenses.
Persona
- BizFinBench
- -
- do-not-answer
- -
Runtime
- BizFinBench
- -
- do-not-answer
- -
License
- BizFinBench
- -
- do-not-answer
- Dual licensing model, datasets under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and source files under Apache 2.0 license.
Last pushed
- BizFinBench
- May 1, 2026
- do-not-answer
- Jun 7, 2024
Categories
- BizFinBench
- Evaluation & Observability
- do-not-answer
- Evaluation & Observability
Trust and health
Maintenance
- BizFinBench
- Steady (60%)
- do-not-answer
- Dormant (18%)
Days since push
- BizFinBench
- 88d
- do-not-answer
- 788d
OSV dependency advisories
- BizFinBench
- Published findings
- do-not-answer
- No lockfile (source not queried)
Full report
- BizFinBench
- Trust report
- do-not-answer
- Trust report
Choose BizFinBench if…
- BizFinBench is primarily Python; do-not-answer is Jupyter Notebook.
- Requirements: 需要安装所需的Python库以运行评估：pip install -r requirements.txt; 环境变量设置包括模型路径、远程模型URL、模型名称以及其他相关参数，如使用API进行测试时的API key等。; 必须确保遵守相关的使用和许可政策，这可能涉及研究使用的限制及其他第三方协议条款。.
- Tags unique to BizFinBench: benchmark, finance, llm, llm-benchmarking.
- For teams专注于金融行业，需要评估其模型在实际业务场景中的表现时。
When NOT to use BizFinBench
- BizFinBench，，。
- ，，BizFinBench。
Choose do-not-answer if…
- do-not-answer is primarily Jupyter Notebook; BizFinBench is Python.
- Tags unique to do-not-answer: datasets, ethical ai, safeguard testing.
- To assess the reliability of safeguards implemented in your Large Language Model.
When NOT to use do-not-answer
- If you require tools for direct implementation or fine-tuning LLMs rather than evaluating them.
- Your project does not involve assessing ethical compliance or safeguard measures within language models.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HiThink-Research/BizFinBench) · observed Jul 29, 2026
- GitHub forks (HiThink-Research/BizFinBench) · observed Jul 29, 2026
- Last push (HiThink-Research/BizFinBench) · observed May 1, 2026
- License file (unknown) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Libr-AI/do-not-answer) · observed Aug 5, 2026
- GitHub forks (Libr-AI/do-not-answer) · observed Aug 5, 2026
- Last push (Libr-AI/do-not-answer) · observed Jun 7, 2024
- 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 on cards: BizFinBench 168 · do-not-answer 339 (synced Jul 29, 2026).
Common questions
- What is the difference between BizFinBench and do-not-answer?
- BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs. do-not-answer: A Dataset for Evaluating Safeguards in LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose BizFinBench over do-not-answer?
- Choose BizFinBench over do-not-answer when BizFinBench is primarily Python; do-not-answer is Jupyter Notebook; Requirements: 需要安装所需的Python库以运行评估：pip install -r requirements.txt; 环境变量设置包括模型路径、远程模型URL、模型名称以及其他相关参数，如使用API进行测试时的API key等。; 必须确保遵守相关的使用和许可政策，这可能涉及研究使用的限制及其他第三方协议条款。; Tags unique to BizFinBench: benchmark, finance, llm, llm-benchmarking; For teams专注于金融行业，需要评估其模型在实际业务场景中的表现时。.
- When should I choose do-not-answer over BizFinBench?
- Choose do-not-answer over BizFinBench when do-not-answer is primarily Jupyter Notebook; BizFinBench is Python; Tags unique to do-not-answer: datasets, ethical ai, safeguard testing; To assess the reliability of safeguards implemented in your Large Language Model.
- When should I avoid BizFinBench?
- BizFinBench，，。 ，，BizFinBench。
- When should I avoid do-not-answer?
- If you require tools for direct implementation or fine-tuning LLMs rather than evaluating them. Your project does not involve assessing ethical compliance or safeguard measures within language models.
- Is BizFinBench or do-not-answer more popular on GitHub?
- do-not-answer has more GitHub stars (339 vs 168). Stars measure visibility, not whether either tool fits your constraints.
- Are BizFinBench and do-not-answer open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BizFinBench or do-not-answer?
- GraphCanon lists graph-backed alternatives at BizFinBench alternatives and do-not-answer alternatives (BizFinBench markdown twin, do-not-answer 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, BizFinBench or do-not-answer?
- BizFinBench: Steady. do-not-answer: 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 BizFinBench and do-not-answer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BizFinBench trust report; do-not-answer trust report.