--- title: "doit vs career-ops" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pydoit-doit-vs-santifer-career-ops" tools: ["pydoit-doit", "santifer-career-ops"] --- # doit vs career-ops *GraphCanon updated Jul 15, 2026* ## Verdict Pick doit when doit is primarily Python; career-ops is JavaScript; pick career-ops when career-ops is primarily JavaScript; doit is Python. [doit](http://pydoit.org) reports 2.1k GitHub stars, 192 forks, and 93 open issues, last pushed Feb 12, 2026. [career-ops](https://career-ops.org) has 60k stars, 12k forks, and 180 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [doit's repository](https://github.com/pydoit/doit) and [career-ops's repository](https://github.com/santifer/career-ops). | | [doit](/tools/pydoit-doit.md) | [career-ops](/tools/santifer-career-ops.md) | | --- | --- | --- | | Tagline | CLI task management & automation tool | Open-source AI job search: scan job portals, score listings A-F, tailor your CV, track applications, runs locally in your AI coding CLI (Claude Code, Gemini, Codex, OpenCode…) | | Stars | 2,073 | 60,190 | | Forks | 192 | 11,935 | | Open issues | 93 | 180 | | Language | Python | JavaScript | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, Data & Retrieval, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [doit](/tools/pydoit-doit.md) | [career-ops](/tools/santifer-career-ops.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 152d | 0d | | Open issues (now) | 93 | 180 | | Owner type | Organization | User | | Full report | [trust report](/tools/pydoit-doit/trust.md) | [trust report](/tools/santifer-career-ops/trust.md) | ## Choose when ### Choose doit if… - doit is primarily Python; career-ops is JavaScript. - Tags unique to doit: build-automation, build-system, build-tool, cli. - Also covers Computer Vision, Data & Retrieval. ### Choose career-ops if… - career-ops is primarily JavaScript; doit is Python. - Tags unique to career-ops: ai, ai-agent, anthropic, ats. - Also covers AI Agents. ## When NOT to use doit - Last GitHub push was 153 days ago (slowing maintenance, Feb 12, 2026). Validate activity before betting a new project on doit. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use career-ops - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between doit and career-ops? doit: CLI task management & automation tool. career-ops: Open-source AI job search: scan job portals, score listings A-F, tailor your CV, track applications, runs locally in your AI coding CLI (Claude Code, Gemini, Codex, OpenCode…). See the comparison table for live GitHub stats and shared categories. ### When should I choose doit over career-ops? Choose doit over career-ops when doit is primarily Python; career-ops is JavaScript; Tags unique to doit: build-automation, build-system, build-tool, cli; Also covers Computer Vision, Data & Retrieval. ### When should I choose career-ops over doit? Choose career-ops over doit when career-ops is primarily JavaScript; doit is Python; Tags unique to career-ops: ai, ai-agent, anthropic, ats; Also covers AI Agents. ### When should I avoid doit? Last GitHub push was 153 days ago (slowing maintenance, Feb 12, 2026). Validate activity before betting a new project on doit. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid career-ops? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is doit or career-ops more popular on GitHub? career-ops has more GitHub stars (60,190 vs 2,073). Stars measure visibility, not whether either tool fits your constraints. ### Are doit and career-ops open source? Yes - both are open-source projects on GitHub (doit: MIT, career-ops: MIT). ### Where can I find alternatives to doit or career-ops? GraphCanon lists graph-backed alternatives at [doit alternatives](/tools/pydoit-doit/alternatives) and [career-ops alternatives](/tools/santifer-career-ops/alternatives) ([doit markdown twin](/tools/pydoit-doit/alternatives.md), [career-ops markdown twin](/tools/santifer-career-ops/alternatives.md)), 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](/compare/pydoit-doit-vs-santifer-career-ops.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, doit or career-ops? doit: Slowing. career-ops: Very 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 doit and career-ops? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [doit trust report](/tools/pydoit-doit/trust); [career-ops trust report](/tools/santifer-career-ops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pydoit-doit`](/api/graphcanon/graph?tool=pydoit-doit) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_