Comparison
datatrove vs kedro-viz
Verdict
Pick datatrove if datatrove is ideal for users needing platform-agnostic customizable pipeline blocks for data processing and transformation across various file formats with built-in support for distributed computing options; pick kedro-viz if kedro-Viz is tailored for visualizing Kedro projects and tracking experiments within the Kedro framework.
Markdown twin · datatrove alternatives · kedro-viz alternatives
GraphCanon updated Sep 27, 2026
16views this month
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Trust & integrity
| Signal | datatrove | kedro-viz |
|---|---|---|
| Maintenance | Active (23d since push) As of Sep 6, 2026 · github_public_v1 | Very active (1d since push) As of Sep 27, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 27, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- datatrove
- Platform-agnostic customizable pipeline processing blocks for data processing and transformation.
- kedro-viz
- Visualise Kedro data pipelines and track experiments.
Stars
- datatrove
- 3.3k
- kedro-viz
- 761
Forks
- datatrove
- 297
- kedro-viz
- 126
Open issues
- datatrove
- 101
- kedro-viz
- 63
Language
- datatrove
- Python
- kedro-viz
- JavaScript
Adopt for
- datatrove
- Datatrove is ideal for users needing platform-agnostic customizable pipeline blocks for data processing and transformation across various file formats with built-in support for distributed computing options.
- kedro-viz
- Kedro-Viz is tailored for visualizing Kedro projects and tracking experiments within the Kedro framework.
Persona
- datatrove
- -
- kedro-viz
- -
Runtime
- datatrove
- -
- kedro-viz
- -
License
- datatrove
- Apache-2.0
- kedro-viz
- Licensed under Apache-2.0
Last pushed
- datatrove
- Aug 13, 2026
- kedro-viz
- Sep 25, 2026
Categories
- datatrove
- Data & Retrieval, Inference & Serving, Model Training
- kedro-viz
- Data & Retrieval
Trust and health
Maintenance
- datatrove
- Active (82%)
- kedro-viz
- Very active (96%)
Days since push
- datatrove
- 23d
- kedro-viz
- 1d
Open issues (now)
- datatrove
- 101
- kedro-viz
- 63
Stars delta
- datatrove
- +74 (30d)
- kedro-viz
- +8 (30d)
Open issues delta
- datatrove
- +8 (30d)
- kedro-viz
- -10 (30d)
Full report
- datatrove
- Trust report
- kedro-viz
- Trust report
Shared compatibility
- Python · datatrove: Python runtime · kedro-viz: Python runtime
Choose datatrove if…
- datatrove is primarily Python; kedro-viz is JavaScript.
- Tags unique to datatrove: data-processing, distributed-computing, file-formats-support, pipelines.
- Also covers Inference & Serving, Model Training.
- When you require a flexible configuration that allows for custom pipelines, supporting text extraction, tokenization, and multilingual text processing.
When NOT to use datatrove
- Avoid datatrove if you are not working within Python 3.10+, as it is not compatible with earlier versions.
- Do not use if you require real-time data processing functionalities that go beyond the package's current capabilities, such as streaming data handling.
Choose kedro-viz if…
- kedro-viz is primarily JavaScript; datatrove is Python.
- Tags unique to kedro-viz: data-visualization, experiment tracking, kedro-extension, kedro-plugin.
- When working with existing Kedro projects to visualize pipelines and gain insights into experiment outcomes efficiently.
When NOT to use kedro-viz
- For pipeline visualization and experiment tracking if the project is not built on the Kedro framework, as integration may be cumbersome or unsupported.
- In settings where real-time collaboration features are essential, as its focus leans towards individual or pre-defined team workflows within a specific tech stack.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (huggingface/datatrove) · observed Sep 20, 2026
- GitHub forks (huggingface/datatrove) · observed Sep 20, 2026
- Last push (huggingface/datatrove) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (kedro-org/kedro-viz) · observed Sep 27, 2026
- GitHub forks (kedro-org/kedro-viz) · observed Sep 27, 2026
- Last push (kedro-org/kedro-viz) · observed Sep 25, 2026
- License file (Apache-2.0) · observed Sep 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: datatrove 3.3k · kedro-viz 761 (synced Sep 20, 2026).
Common questions
- What is the difference between datatrove and kedro-viz?
- datatrove: Platform-agnostic customizable pipeline processing blocks for data processing and transformation.. kedro-viz: Visualise Kedro data pipelines and track experiments.. See the comparison table for live GitHub stats and shared categories.
- When should I choose datatrove over kedro-viz?
- Choose datatrove over kedro-viz when datatrove is primarily Python; kedro-viz is JavaScript; Tags unique to datatrove: data-processing, distributed-computing, file-formats-support, pipelines; Also covers Inference & Serving, Model Training; When you require a flexible configuration that allows for custom pipelines, supporting text extraction, tokenization, and multilingual text processing.
- When should I choose kedro-viz over datatrove?
- Choose kedro-viz over datatrove when kedro-viz is primarily JavaScript; datatrove is Python; Tags unique to kedro-viz: data-visualization, experiment tracking, kedro-extension, kedro-plugin; When working with existing Kedro projects to visualize pipelines and gain insights into experiment outcomes efficiently.
- When should I avoid datatrove?
- Avoid datatrove if you are not working within Python 3.10+, as it is not compatible with earlier versions. Do not use if you require real-time data processing functionalities that go beyond the package's current capabilities, such as streaming data handling.
- When should I avoid kedro-viz?
- For pipeline visualization and experiment tracking if the project is not built on the Kedro framework, as integration may be cumbersome or unsupported. In settings where real-time collaboration features are essential, as its focus leans towards individual or pre-defined team workflows within a specific tech stack.
- Is datatrove or kedro-viz more popular on GitHub?
- datatrove has more GitHub stars (3,324 vs 761). Stars measure visibility, not whether either tool fits your constraints.
- Are datatrove and kedro-viz open source?
- Yes - both are open-source projects on GitHub (datatrove: Apache-2.0, kedro-viz: Apache-2.0).
- Where can I find alternatives to datatrove or kedro-viz?
- GraphCanon lists graph-backed alternatives at datatrove alternatives and kedro-viz alternatives (datatrove markdown twin, kedro-viz 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, datatrove or kedro-viz?
- datatrove: Active. kedro-viz: 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 datatrove and kedro-viz?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datatrove trust report; kedro-viz trust report.