Comparison
aim vs sacred
Verdict
Pick aim if aim is an easy-to-use experiment tracker for Python ML projects with robust features like metadata tracking and compatibility with various frameworks; pick sacred if sacred is an experiment management tool for machine learning that emphasizes configuration management, logging, and reproducibility.
Markdown twin · aim alternatives · sacred alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | aim | sacred |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Slowing (284d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- aim
- An easy-to-use & supercharged open-source experiment tracker
- sacred
- A tool for experiment configuration, logging, and reproducibility
Stars
- aim
- 6.2k
- sacred
- 4.4k
Forks
- aim
- 401
- sacred
- 393
Open issues
- aim
- 465
- sacred
- 107
Language
- aim
- Python
- sacred
- Python
Adopt for
- aim
- Aim is an easy-to-use experiment tracker for Python ML projects with robust features like metadata tracking and compatibility with various frameworks.
- sacred
- Sacred is an experiment management tool for machine learning that emphasizes configuration management, logging, and reproducibility.
Persona
- aim
- -
- sacred
- -
Runtime
- aim
- -
- sacred
- -
License
- aim
- Apache-2.0
- sacred
- Sacred is open-source under the MIT license, providing broad permissiveness in its use and modification across various applications.
Last pushed
- aim
- Jul 27, 2026
- sacred
- Oct 22, 2025
Categories
- aim
- Evaluation & Observability, Model Training
- sacred
- Developer Tools, Model Training
Trust and health
Maintenance
- aim
- Very active (96%)
- sacred
- Slowing (36%)
Days since push
- aim
- 0d
- sacred
- 284d
Open issues (now)
- aim
- 465
- sacred
- 107
OSV dependency advisories
- aim
- No lockfile (source not queried)
- sacred
- No published findings from this source as of 2026-07-11
Full report
- aim
- Trust report
- sacred
- Trust report
Choose aim if…
- License: aim is Apache-2.0, sacred is MIT.
- Tags unique to aim: ai, data-science, experiment tracking, mlflow.
- Also covers Evaluation & Observability.
- You are working on Python-based machine learning projects and need detailed experiment tracking to manage metadata effectively.
When NOT to use aim
- You prefer comprehensive pre-built integrations with cloud services for MLOps processes that are not natively extensive in Aim.
- Your project is primarily coded in languages other than Python; while language versatility might be desired, Aim specifically excels within the Python ecosystem.
Choose sacred if…
- License: sacred is MIT, aim is Apache-2.0.
- Pricing: Being an open-source tool under the MIT license, Sacred can be used freely without any cost..
- Tags unique to sacred: config injection, experiment management, logging, reproducibility.
- Also covers Developer Tools.
- When precise control over experiment configurations and their dependencies is required, allowing consistent reproduction of results.
When NOT to use sacred
- If your project does not require deep integration with MongoDB for logging purposes, as Sacred assumes this setup out-of-the-box without offering as much flexibility to other storage options.
- When you need a tool with lightweight overhead, since Sacred's comprehensive feature set introduces more complexity suitable only for larger-scale projects.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aimhubio/aim) · observed Jul 28, 2026
- GitHub forks (aimhubio/aim) · observed Jul 28, 2026
- Last push (aimhubio/aim) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (IDSIA/sacred) · observed Aug 3, 2026
- GitHub forks (IDSIA/sacred) · observed Aug 3, 2026
- Last push (IDSIA/sacred) · observed Oct 22, 2025
- License file (MIT) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aim 6.2k · sacred 4.4k (synced Jul 28, 2026).
Common questions
- What is the difference between aim and sacred?
- aim: An easy-to-use & supercharged open-source experiment tracker. sacred: A tool for experiment configuration, logging, and reproducibility. See the comparison table for live GitHub stats and shared categories.
- When should I choose aim over sacred?
- Choose aim over sacred when License: aim is Apache-2.0, sacred is MIT; Tags unique to aim: ai, data-science, experiment tracking, mlflow; Also covers Evaluation & Observability; You are working on Python-based machine learning projects and need detailed experiment tracking to manage metadata effectively.
- When should I choose sacred over aim?
- Choose sacred over aim when License: sacred is MIT, aim is Apache-2.0; Pricing: Being an open-source tool under the MIT license, Sacred can be used freely without any cost.; Tags unique to sacred: config injection, experiment management, logging, reproducibility; Also covers Developer Tools; When precise control over experiment configurations and their dependencies is required, allowing consistent reproduction of results.
- When should I avoid aim?
- You prefer comprehensive pre-built integrations with cloud services for MLOps processes that are not natively extensive in Aim. Your project is primarily coded in languages other than Python; while language versatility might be desired, Aim specifically excels within the Python ecosystem.
- When should I avoid sacred?
- If your project does not require deep integration with MongoDB for logging purposes, as Sacred assumes this setup out-of-the-box without offering as much flexibility to other storage options. When you need a tool with lightweight overhead, since Sacred's comprehensive feature set introduces more complexity suitable only for larger-scale projects.
- Is aim or sacred more popular on GitHub?
- aim has more GitHub stars (6,210 vs 4,372). Stars measure visibility, not whether either tool fits your constraints.
- Are aim and sacred open source?
- Yes - both are open-source projects on GitHub (aim: Apache-2.0, sacred: MIT).
- Where can I find alternatives to aim or sacred?
- GraphCanon lists graph-backed alternatives at aim alternatives and sacred alternatives (aim markdown twin, sacred 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, aim or sacred?
- aim: Very active. sacred: 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 aim and sacred?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aim trust report; sacred trust report.