--- title: "autokeras vs tensorspace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-autokeras-vs-tensorspace-team-tensorspace" tools: ["keras-team-autokeras", "tensorspace-team-tensorspace"] --- # autokeras vs tensorspace *GraphCanon updated Aug 4, 2026* ## Verdict Pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+; pick tensorspace if a JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js. [autokeras](http://autokeras.com/) reports 9.3k GitHub stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. [tensorspace](https://tensorspace.org) has 5.2k stars, 450 forks, and 28 open issues, last pushed Dec 5, 2022. Figures are from public GitHub metadata via [autokeras's repository](https://github.com/keras-team/autokeras) and [tensorspace's repository](https://github.com/tensorspace-team/tensorspace). | | [autokeras](/tools/keras-team-autokeras.md) | [tensorspace](/tools/tensorspace-team-tensorspace.md) | | --- | --- | --- | | Tagline | AutoML library for deep learning | Neural network 3D visualization framework for interactive models in browsers | | Stars | 9,328 | 5,191 | | Forks | 1,393 | 450 | | Open issues | 161 | 28 | | Language | Python | JavaScript | | Adopt for | AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+. | A JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Model Training | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autokeras](/tools/keras-team-autokeras.md) | [tensorspace](/tools/tensorspace-team-tensorspace.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 251d | 1336d | | Open issues (now) | 161 | 28 | | Full report | [trust report](/tools/keras-team-autokeras/trust.md) | [trust report](/tools/tensorspace-team-tensorspace/trust.md) | ## Decision facts: autokeras - **Adopt for:** AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+. ## Decision facts: tensorspace - **Adopt for:** A JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js. ## Choose when ### Choose autokeras if… - autokeras is primarily Python; tensorspace is JavaScript. - Tags unique to autokeras: autodl, automl, neural-architecture-search. - Also covers Model Training. - When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### Choose tensorspace if… - tensorspace is primarily JavaScript; autokeras is Python. - Tags unique to tensorspace: 3d, javascript, neural-network, tfjs. - Project requires real-time visual insights into pre-trained deep learning models directly in web browsers. ## When NOT to use autokeras - When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. - If your project emphasizes transparent, understandable model architecture over automated generation without human oversight. ## When NOT to use tensorspace - Team lacks expertise in JavaScript, as tensorspace primarily relies on this language for integration and execution. - Project needs offline visualization capabilities since tensorspace operates exclusively within web browsers requiring internet access. ## Common questions ### What is the difference between autokeras and tensorspace? autokeras: AutoML library for deep learning. tensorspace: Neural network 3D visualization framework for interactive models in browsers. See the comparison table for live GitHub stats and shared categories. ### When should I choose autokeras over tensorspace? Choose autokeras over tensorspace when autokeras is primarily Python; tensorspace is JavaScript; Tags unique to autokeras: autodl, automl, neural-architecture-search; Also covers Model Training; When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### When should I choose tensorspace over autokeras? Choose tensorspace over autokeras when tensorspace is primarily JavaScript; autokeras is Python; Tags unique to tensorspace: 3d, javascript, neural-network, tfjs; Project requires real-time visual insights into pre-trained deep learning models directly in web browsers. ### When should I avoid autokeras? When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight. ### When should I avoid tensorspace? Team lacks expertise in JavaScript, as tensorspace primarily relies on this language for integration and execution. Project needs offline visualization capabilities since tensorspace operates exclusively within web browsers requiring internet access. ### Is autokeras or tensorspace more popular on GitHub? autokeras has more GitHub stars (9,328 vs 5,191). Stars measure visibility, not whether either tool fits your constraints. ### Are autokeras and tensorspace open source? Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, tensorspace: Apache-2.0). ### Where can I find alternatives to autokeras or tensorspace? GraphCanon lists graph-backed alternatives at [autokeras alternatives](/tools/keras-team-autokeras/alternatives) and [tensorspace alternatives](/tools/tensorspace-team-tensorspace/alternatives) ([autokeras markdown twin](/tools/keras-team-autokeras/alternatives.md), [tensorspace markdown twin](/tools/tensorspace-team-tensorspace/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/keras-team-autokeras-vs-tensorspace-team-tensorspace.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autokeras or tensorspace? autokeras: Slowing. tensorspace: Dormant. 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 autokeras and tensorspace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autokeras trust report](/tools/keras-team-autokeras/trust); [tensorspace trust report](/tools/tensorspace-team-tensorspace/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=keras-team-autokeras`](/api/graphcanon/graph?tool=keras-team-autokeras) - 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/_