Comparison
GSM-IC vs ai-engineering-from-scratch
Verdict
Pick GSM-IC when also covers Evaluation & Observability; pick ai-engineering-from-scratch when pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up.
Markdown twin · GSM-IC alternatives · ai-engineering-from-scratch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | GSM-IC | ai-engineering-from-scratch |
|---|---|---|
| Maintenance | Archived (1244d since push) As of today · github_public_v1 | Active (15d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- GSM-IC
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant sentences in problem descriptions. GSM-IC is constructed to evalu
- ai-engineering-from-scratch
- Learn it. Build it. Ship it for others.
Stars
- GSM-IC
- 67
- ai-engineering-from-scratch
- 38k
Forks
- GSM-IC
- 2
- ai-engineering-from-scratch
- 6.3k
Open issues
- GSM-IC
- 1
- ai-engineering-from-scratch
- 96
Language
- GSM-IC
- -
- ai-engineering-from-scratch
- Python
Adopt for
- GSM-IC
- -
- ai-engineering-from-scratch
- Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up.
Persona
- GSM-IC
- -
- ai-engineering-from-scratch
- -
Runtime
- GSM-IC
- -
- ai-engineering-from-scratch
- -
License
- GSM-IC
- -
- ai-engineering-from-scratch
- MIT
Last pushed
- GSM-IC
- Feb 13, 2023
- ai-engineering-from-scratch
- Jun 25, 2026
Categories
- GSM-IC
- LLM Frameworks, Evaluation & Observability
- ai-engineering-from-scratch
- AI Agents, LLM Frameworks, Computer Vision, Developer Tools
Trust and health
Maintenance
- GSM-IC
- Archived (8%)
- ai-engineering-from-scratch
- Active (82%)
Days since push
- GSM-IC
- 1244d
- ai-engineering-from-scratch
- 15d
Archived on GitHub
- GSM-IC
- Yes
- ai-engineering-from-scratch
- No
Open issues (now)
- GSM-IC
- 1
- ai-engineering-from-scratch
- 96
Owner type
- GSM-IC
- Organization
- ai-engineering-from-scratch
- User
Security scan
- GSM-IC
- No lockfile
- ai-engineering-from-scratch
- No MCP manifest
Full report
- GSM-IC
- Trust report
- ai-engineering-from-scratch
- Trust report
Choose GSM-IC if…
- Also covers Evaluation & Observability.
- Leaner open-issue backlog (1).
When NOT to use GSM-IC
- GSM-IC is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose ai-engineering-from-scratch if…
- Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up.
- Tags unique to ai-engineering-from-scratch: deep-learning, ai-engineering, agents, llm.
- Also covers AI Agents, Computer Vision, Developer Tools.
- When you want to start with foundational knowledge and learn the intricacies behind AI systems.
When NOT to use ai-engineering-from-scratch
- If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding.
- When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google-research-datasets/GSM-IC) · observed Jul 11, 2026
- GitHub forks (google-research-datasets/GSM-IC) · observed Jul 11, 2026
- Last push (google-research-datasets/GSM-IC) · observed Feb 13, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/ai-engineering-from-scratch) · observed Jul 11, 2026
- GitHub forks (rohitg00/ai-engineering-from-scratch) · observed Jul 11, 2026
- Last push (rohitg00/ai-engineering-from-scratch) · observed Jun 25, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: GSM-IC 67 · ai-engineering-from-scratch 38k (synced Jul 11, 2026).
Common questions
- What is the difference between GSM-IC and ai-engineering-from-scratch?
- GSM-IC: Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant sentences in problem descriptions. GSM-IC is constructed to evalu. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories.
- When should I choose GSM-IC over ai-engineering-from-scratch?
- Choose GSM-IC over ai-engineering-from-scratch when Also covers Evaluation & Observability; Leaner open-issue backlog (1).
- When should I choose ai-engineering-from-scratch over GSM-IC?
- Choose ai-engineering-from-scratch over GSM-IC when Pricing: The
ai-engineering-from-scratchrepository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: deep-learning, ai-engineering, agents, llm; Also covers AI Agents, Computer Vision, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. - When should I avoid GSM-IC?
- GSM-IC is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid ai-engineering-from-scratch?
- If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch.
- Is GSM-IC or ai-engineering-from-scratch more popular on GitHub?
- ai-engineering-from-scratch has more GitHub stars (37,922 vs 67). Stars measure visibility, not whether either tool fits your constraints.
- Are GSM-IC and ai-engineering-from-scratch open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to GSM-IC or ai-engineering-from-scratch?
- GraphCanon lists graph-backed alternatives at GSM-IC alternatives and ai-engineering-from-scratch alternatives (GSM-IC markdown twin, ai-engineering-from-scratch 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, GSM-IC or ai-engineering-from-scratch?
- GSM-IC: Archived. ai-engineering-from-scratch: Active. 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 GSM-IC and ai-engineering-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: GSM-IC trust report; ai-engineering-from-scratch trust report.