Comparison
edict vs ai-engineering-from-scratch
Verdict
Pick edict if edict is a multi-agent orchestration system featuring nine specialized AI agents with real-time dashboards, customizable configurations, and full audit trails. It leverages Docker for easy setup and focuses on seamless,古; pick ai-engineering-from-scratch if ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and.
Markdown twin · edict alternatives · ai-engineering-from-scratch alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | edict | ai-engineering-from-scratch |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 20, 2026 · github_public_v1 | Active (10d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 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
- edict
- Three Departments Six Ministries System · OpenClaw Multi-Agent Orchestration System: 9 specialized AI agents include real-time dashboard, model configuration, and complete audit trails
- ai-engineering-from-scratch
- Learn, build, and deploy AI engineering skills from scratch.
Stars
- edict
- 17k
- ai-engineering-from-scratch
- 55k
Forks
- edict
- 1.8k
- ai-engineering-from-scratch
- 9.6k
Open issues
- edict
- 19
- ai-engineering-from-scratch
- 114
Language
- edict
- Python
- ai-engineering-from-scratch
- Python
Adopt for
- edict
- Edict is a multi-agent orchestration system featuring nine specialized AI agents with real-time dashboards, customizable configurations, and full audit trails. It leverages Docker for easy setup and focuses on seamless,古
- ai-engineering-from-scratch
- ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and
Persona
- edict
- -
- ai-engineering-from-scratch
- -
Runtime
- edict
- -
- ai-engineering-from-scratch
- -
License
- edict
- MIT License offers permissive use for both commercial and private projects with conditions to preserve the copyright notice.
- ai-engineering-from-scratch
- MIT
Last pushed
- edict
- Sep 7, 2026
- ai-engineering-from-scratch
- Sep 7, 2026
Categories
- edict
- AI Agents
- ai-engineering-from-scratch
- AI Agents, Computer Vision, Developer Tools, Model Training
Trust and health
Days since push
- edict
- 13d
- ai-engineering-from-scratch
- 10d
Open issues (now)
- edict
- 19
- ai-engineering-from-scratch
- 114
Stars delta
- edict
- +516 (30d)
- ai-engineering-from-scratch
- +8.1k (30d)
Open issues delta
- edict
- -12 (30d)
- ai-engineering-from-scratch
- +7 (30d)
OSV dependency advisories
- edict
- No published findings from this source as of 2026-07-11
- ai-engineering-from-scratch
- Published findings
Full report
- edict
- Trust report
- ai-engineering-from-scratch
- Trust report
Shared compatibility
- Python · edict: Python runtime · ai-engineering-from-scratch: Python runtime
Choose edict if…
- Pricing: Free under MIT license but additional support or services might incur costs.
- Requirements: Requires Docker.
- Tags unique to edict: ai-agents, ai-orchestration, autonomous-agents, dashboard.
- edict ships Docker support for self-hosted deployment.
- When you need a set of 9 specialized AI agents designed for specific tasks within an orchestrated environment
When NOT to use edict
- If you are working within complex enterprise environments with proprietary security requirements that Edict's MIT license might conflict with
- When your use case requires more agents or flexibility beyond what the pre-defined nine agents in Edict offer without significant manual integration efforts
- In scenarios where Docker-based deployment is not suitable for your infrastructure, such as platforms where cross-architecture errors using Docker are frequent
Choose ai-engineering-from-scratch if…
- Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning.
- Also covers Computer Vision, Developer Tools, Model Training.
- when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning.
When NOT to use ai-engineering-from-scratch
- if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning.
- when you do not have access to Node.js or Python, as these are required for running the course and its interactive components.
- if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions.
- when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cft0808/edict) · observed Sep 20, 2026
- GitHub forks (cft0808/edict) · observed Sep 20, 2026
- Last push (cft0808/edict) · observed Sep 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/ai-engineering-from-scratch) · observed Sep 20, 2026
- GitHub forks (rohitg00/ai-engineering-from-scratch) · observed Sep 20, 2026
- Last push (rohitg00/ai-engineering-from-scratch) · observed Sep 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: edict 17k · ai-engineering-from-scratch 55k (synced Sep 20, 2026).
Common questions
- What is the difference between edict and ai-engineering-from-scratch?
- edict: Three Departments Six Ministries System · OpenClaw Multi-Agent Orchestration System: 9 specialized AI agents include real-time dashboard, model configuration, and complete audit trails. ai-engineering-from-scratch: Learn, build, and deploy AI engineering skills from scratch.. See the comparison table for live GitHub stats and shared categories.
- When should I choose edict over ai-engineering-from-scratch?
- Choose edict over ai-engineering-from-scratch when Pricing: Free under MIT license but additional support or services might incur costs; Requirements: Requires Docker; Tags unique to edict: ai-agents, ai-orchestration, autonomous-agents, dashboard; edict ships Docker support for self-hosted deployment; When you need a set of 9 specialized AI agents designed for specific tasks within an orchestrated environment.
- When should I choose ai-engineering-from-scratch over edict?
- Choose ai-engineering-from-scratch over edict when Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers Computer Vision, Developer Tools, Model Training; when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning.
- When should I avoid edict?
- If you are working within complex enterprise environments with proprietary security requirements that Edict's MIT license might conflict with When your use case requires more agents or flexibility beyond what the pre-defined nine agents in Edict offer without significant manual integration efforts In scenarios where Docker-based deployment is not suitable for your infrastructure, such as platforms where cross-architecture errors using Docker are frequent
- When should I avoid ai-engineering-from-scratch?
- if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning. when you do not have access to Node.js or Python, as these are required for running the course and its interactive components. if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions. when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments.
- Is edict or ai-engineering-from-scratch more popular on GitHub?
- ai-engineering-from-scratch has more GitHub stars (54,935 vs 16,901). Stars measure visibility, not whether either tool fits your constraints.
- Are edict and ai-engineering-from-scratch open source?
- Yes - both are open-source projects on GitHub (edict: MIT, ai-engineering-from-scratch: MIT).
- Where can I find alternatives to edict or ai-engineering-from-scratch?
- GraphCanon lists graph-backed alternatives at edict alternatives and ai-engineering-from-scratch alternatives (edict 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, edict or ai-engineering-from-scratch?
- edict: Active. 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 edict and ai-engineering-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: edict trust report; ai-engineering-from-scratch trust report.