Comparison
FLsystem-paper vs machine-learning-systems-design
Verdict
Pick FLsystem-paper if fLsystem-paper is a curated list of federated learning systems literature geared towards providing research and development insights exclusively from big tech companies and open-source projects; pick machine-learning-systems-design if a booklet designed to provide an overview of machine learning systems design, featuring hands-on exercises and practical resources.
Markdown twin · FLsystem-paper alternatives · machine-learning-systems-design alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | FLsystem-paper | machine-learning-systems-design |
|---|---|---|
| Maintenance | Dormant (909d since push) As of 2w · github_public_v1 | Dormant (1217d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | No lockfile (source not queried) As of 1w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 3w · openssf-scorecard@v1 |
Tagline
- FLsystem-paper
- A curated list of FL system-related academic papers and frameworks
- machine-learning-systems-design
- A booklet on machine learning systems design with exercises
Stars
- FLsystem-paper
- 75
- machine-learning-systems-design
- 11k
Forks
- FLsystem-paper
- 7
- machine-learning-systems-design
- 1.6k
Open issues
- FLsystem-paper
- 1
- machine-learning-systems-design
- 11
Language
- FLsystem-paper
- -
- machine-learning-systems-design
- HTML
Adopt for
- FLsystem-paper
- FLsystem-paper is a curated list of federated learning systems literature geared towards providing research and development insights exclusively from big tech companies and open-source projects.
- machine-learning-systems-design
- A booklet designed to provide an overview of machine learning systems design, featuring hands-on exercises and practical resources.
Persona
- FLsystem-paper
- -
- machine-learning-systems-design
- developer harness
Runtime
- FLsystem-paper
- -
- machine-learning-systems-design
- -
License
- FLsystem-paper
- (unknown)
- machine-learning-systems-design
- License information is unavailable.
Last pushed
- FLsystem-paper
- Feb 7, 2024
- machine-learning-systems-design
- Apr 15, 2023
Categories
- FLsystem-paper
- Developer Tools, Model Training
- machine-learning-systems-design
- Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Days since push
- FLsystem-paper
- 909d
- machine-learning-systems-design
- 1217d
Open issues (now)
- FLsystem-paper
- 1
- machine-learning-systems-design
- 11
Stars delta
- FLsystem-paper
- Unknown
- machine-learning-systems-design
- +54 (30d)
Open issues delta
- FLsystem-paper
- Unknown
- machine-learning-systems-design
- 0 (30d)
deps.dev advisories
- FLsystem-paper
- Not queried
- machine-learning-systems-design
- No lockfile (source not queried)
OpenSSF Scorecard
- FLsystem-paper
- Not queried
- machine-learning-systems-design
- No public record from this source
Full report
- FLsystem-paper
- Trust report
- machine-learning-systems-design
- Trust report
Choose FLsystem-paper if…
- (no information available)
- Pricing: The repository itself is free and open source, but usage might involve proprietary frameworks or projects from big tech companies that could have their own licensing models..
- Tags unique to FLsystem-paper: federated-learning, machine-learning, papers.
- When you need to focus on federated learning systems contributions from major technology firms like Apple, Google, Meta, Microsoft, IBM, Nvidia, WeBank, and Alibaba.
When NOT to use FLsystem-paper
- If your research scope is broader than federated learning systems; this repository focuses specifically on the system aspects within FL.
- For a comprehensive collection that includes other ML domains, as FLsystem-paper restricts its curation to federated learning systems and closely related works.
Choose machine-learning-systems-design if…
- Pricing: Free to use, no charge for the booklet but additional content like answers to practice questions may be contained in a book that entails a cost..
- Tags unique to machine-learning-systems-design: data-science, machine-learning-production, mlops.
- Also covers Data & Retrieval, Evaluation & Observability, Inference & Serving.
- Use for a quick initial introduction to the key aspects of ML system design if you are unfamiliar with the foundational concepts.
When NOT to use machine-learning-systems-design
- Not recommended if you require an exhaustive guide; this booklet has been superseded by a more comprehensive book 'Designing Machine Learning Systems'.
- Avoid using solely as the basis for designing production-ready machine learning systems without further reading and validation from current industry standards or more recent resources.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AmberLJC/FLsystem-paper) · observed Aug 4, 2026
- GitHub forks (AmberLJC/FLsystem-paper) · observed Aug 4, 2026
- Last push (AmberLJC/FLsystem-paper) · observed Feb 7, 2024
- License file (unknown) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (chiphuyen/machine-learning-systems-design) · observed Aug 14, 2026
- GitHub forks (chiphuyen/machine-learning-systems-design) · observed Aug 14, 2026
- Last push (chiphuyen/machine-learning-systems-design) · observed Apr 15, 2023
- License file (unknown) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: FLsystem-paper 75 · machine-learning-systems-design 11k (synced Aug 4, 2026).
Common questions
- What is the difference between FLsystem-paper and machine-learning-systems-design?
- FLsystem-paper: A curated list of FL system-related academic papers and frameworks. machine-learning-systems-design: A booklet on machine learning systems design with exercises. See the comparison table for live GitHub stats and shared categories.
- When should I choose FLsystem-paper over machine-learning-systems-design?
- Choose FLsystem-paper over machine-learning-systems-design when (no information available); Pricing: The repository itself is free and open source, but usage might involve proprietary frameworks or projects from big tech companies that could have their own licensing models.; Tags unique to FLsystem-paper: federated-learning, machine-learning, papers; When you need to focus on federated learning systems contributions from major technology firms like Apple, Google, Meta, Microsoft, IBM, Nvidia, WeBank, and Alibaba.
- When should I choose machine-learning-systems-design over FLsystem-paper?
- Choose machine-learning-systems-design over FLsystem-paper when Pricing: Free to use, no charge for the booklet but additional content like answers to practice questions may be contained in a book that entails a cost.; Tags unique to machine-learning-systems-design: data-science, machine-learning-production, mlops; Also covers Data & Retrieval, Evaluation & Observability, Inference & Serving; Use for a quick initial introduction to the key aspects of ML system design if you are unfamiliar with the foundational concepts.
- When should I avoid FLsystem-paper?
- If your research scope is broader than federated learning systems; this repository focuses specifically on the system aspects within FL. For a comprehensive collection that includes other ML domains, as FLsystem-paper restricts its curation to federated learning systems and closely related works.
- When should I avoid machine-learning-systems-design?
- Not recommended if you require an exhaustive guide; this booklet has been superseded by a more comprehensive book 'Designing Machine Learning Systems'. Avoid using solely as the basis for designing production-ready machine learning systems without further reading and validation from current industry standards or more recent resources.
- Is FLsystem-paper or machine-learning-systems-design more popular on GitHub?
- machine-learning-systems-design has more GitHub stars (10,509 vs 75). Stars measure visibility, not whether either tool fits your constraints.
- Are FLsystem-paper and machine-learning-systems-design open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to FLsystem-paper or machine-learning-systems-design?
- GraphCanon lists graph-backed alternatives at FLsystem-paper alternatives and machine-learning-systems-design alternatives (FLsystem-paper markdown twin, machine-learning-systems-design 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, FLsystem-paper or machine-learning-systems-design?
- FLsystem-paper: Dormant. machine-learning-systems-design: 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 FLsystem-paper and machine-learning-systems-design?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FLsystem-paper trust report; machine-learning-systems-design trust report.