Comparison
paperless-ai vs aisheets
Verdict
Pick paperless-ai if paperless-ai is a JavaScript-built automated document analyzer for Paperless-ngx that tags documents using OpenAI API and compatible services such as Ollama, Deepseek-r1, and Azure; pick aisheets if aisheets is a no-code platform that uses AI models to build and transform datasets, suitable for users looking to manipulate and enhance data with ease without writing any code.
Markdown twin · paperless-ai alternatives · aisheets alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | paperless-ai | aisheets |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (2d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- paperless-ai
- Automated document analyzer for Paperless-ngx using OpenAI API and compatible services to tag documents
- aisheets
- Build, enrich, and transform datasets using AI models with no code
Stars
- paperless-ai
- 6.0k
- aisheets
- 1.6k
Forks
- paperless-ai
- 331
- aisheets
- 139
Open issues
- paperless-ai
- 56
- aisheets
- 12
Language
- paperless-ai
- JavaScript
- aisheets
- TypeScript
Adopt for
- paperless-ai
- Paperless-ai is a JavaScript-built automated document analyzer for Paperless-ngx that tags documents using OpenAI API and compatible services such as Ollama, Deepseek-r1, and Azure.
- aisheets
- Aisheets is a no-code platform that uses AI models to build and transform datasets, suitable for users looking to manipulate and enhance data with ease without writing any code.
Persona
- paperless-ai
- -
- aisheets
- -
Runtime
- paperless-ai
- -
- aisheets
- -
License
- paperless-ai
- MIT
- aisheets
- Apache-2.0, which allows free use, modification, and distribution of the software but includes clauses that require preservation of copyright and license notices.
Last pushed
- paperless-ai
- Sep 19, 2026
- aisheets
- Sep 17, 2026
Categories
- paperless-ai
- Evaluation & Observability, Model Training
- aisheets
- Data & Retrieval, Evaluation & Observability
Trust and health
Days since push
- paperless-ai
- 1d
- aisheets
- 2d
Open issues (now)
- paperless-ai
- 56
- aisheets
- 12
Stars delta
- paperless-ai
- +68 (30d)
- aisheets
- +5 (30d)
Open issues delta
- paperless-ai
- -7 (30d)
- aisheets
- 0 (30d)
Owner type
- paperless-ai
- User
- aisheets
- Organization
Full report
- paperless-ai
- Trust report
- aisheets
- Trust report
Choose paperless-ai if…
- paperless-ai is primarily JavaScript; aisheets is TypeScript.
- License: paperless-ai is MIT, aisheets is Apache-2.0.
- Tags unique to paperless-ai: automation, gemma, llama, mistral.
- Also covers Model Training.
- - When you require integration with Paperless-ngx for managing digital documents automatically with tagging capabilities
When NOT to use paperless-ai
- - For projects that do not involve the management or automatic analysis of digital documents within a Paperless-ngx context
- - In environments where the specific services it integrates with, such as Ollama and Deepseek-r1, are unavailable or unsupported
Choose aisheets if…
- aisheets is primarily TypeScript; paperless-ai is JavaScript.
- License: aisheets is Apache-2.0, paperless-ai is MIT.
- Tags unique to aisheets: llm-evaluation, llms, nocode, oss.
- Also covers Data & Retrieval.
- Use Aisheets when you need to quickly enrich your datasets using AI capabilities and have no coding experience or preference to avoid coding tasks.
When NOT to use aisheets
- Avoid Aisheets if you require a highly customizable code-based solution where manual control over data manipulations is essential.
- Do not use Aisheets for projects where open-source software limitations may prevent usage due to its Apache-2.0 license, if your project requires a different licensing model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (clusterzx/paperless-ai) · observed Sep 20, 2026
- GitHub forks (clusterzx/paperless-ai) · observed Sep 20, 2026
- Last push (clusterzx/paperless-ai) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (huggingface/aisheets) · observed Sep 20, 2026
- GitHub forks (huggingface/aisheets) · observed Sep 20, 2026
- Last push (huggingface/aisheets) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: paperless-ai 6.0k · aisheets 1.6k (synced Sep 20, 2026).
Common questions
- What is the difference between paperless-ai and aisheets?
- paperless-ai: Automated document analyzer for Paperless-ngx using OpenAI API and compatible services to tag documents. aisheets: Build, enrich, and transform datasets using AI models with no code. See the comparison table for live GitHub stats and shared categories.
- When should I choose paperless-ai over aisheets?
- Choose paperless-ai over aisheets when paperless-ai is primarily JavaScript; aisheets is TypeScript; License: paperless-ai is MIT, aisheets is Apache-2.0; Tags unique to paperless-ai: automation, gemma, llama, mistral; Also covers Model Training; - When you require integration with Paperless-ngx for managing digital documents automatically with tagging capabilities.
- When should I choose aisheets over paperless-ai?
- Choose aisheets over paperless-ai when aisheets is primarily TypeScript; paperless-ai is JavaScript; License: aisheets is Apache-2.0, paperless-ai is MIT; Tags unique to aisheets: llm-evaluation, llms, nocode, oss; Also covers Data & Retrieval; Use Aisheets when you need to quickly enrich your datasets using AI capabilities and have no coding experience or preference to avoid coding tasks.
- When should I avoid paperless-ai?
- - For projects that do not involve the management or automatic analysis of digital documents within a Paperless-ngx context - In environments where the specific services it integrates with, such as Ollama and Deepseek-r1, are unavailable or unsupported
- When should I avoid aisheets?
- Avoid Aisheets if you require a highly customizable code-based solution where manual control over data manipulations is essential. Do not use Aisheets for projects where open-source software limitations may prevent usage due to its Apache-2.0 license, if your project requires a different licensing model.
- Is paperless-ai or aisheets more popular on GitHub?
- paperless-ai has more GitHub stars (5,950 vs 1,643). Stars measure visibility, not whether either tool fits your constraints.
- Are paperless-ai and aisheets open source?
- Yes - both are open-source projects on GitHub (paperless-ai: MIT, aisheets: Apache-2.0).
- Where can I find alternatives to paperless-ai or aisheets?
- GraphCanon lists graph-backed alternatives at paperless-ai alternatives and aisheets alternatives (paperless-ai markdown twin, aisheets 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, paperless-ai or aisheets?
- paperless-ai: Very active. aisheets: 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 paperless-ai and aisheets?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paperless-ai trust report; aisheets trust report.