tensorturnAn Obviously.ai alternative for tabular and image models
Obviously.ai is a clean no-code tool for predicting outcomes from tabular data: upload a CSV, pick a column to predict, and get a model, aimed at business users. TensorTurn is a broader no-code alternative that does tabular ML too, but also image tasks (PyTorch, Keras, YOLO), runs deeper automated data health checks, can train on your own GPUs, and self-heals failed runs. If you only ever predict from spreadsheets, Obviously.ai is simple; if you want images, deeper checks, or your own hardware, TensorTurn goes further.
Both are no-code, but different scope
Obviously.ai is deliberately narrow and simple: tabular prediction for non-technical business teams, with a very smooth workflow. TensorTurn keeps the plain-English, no-code experience but widens the scope to image classification and detection, real dataset health auditing, self-healing training, and API deployment, plus the option to run on GPUs you already own.
Where Obviously.ai is genuinely strong
- Simplicity for business users: arguably the smoothest path from a CSV to a tabular prediction.
- Focus: it does one thing, tabular prediction, and doesn't overwhelm non-technical users with options.
- Reporting and sharing aimed at business stakeholders.
- Maturity: an established product with a polished onboarding for spreadsheet-style problems.
Where TensorTurn goes further
- Images too: classification and detection with PyTorch, Keras, and YOLO, not just tabular.
- Deeper data health: tabular leakage/outliers/correlations plus image duplicates, blur, exposure, corrupt files, and likely-mislabeled images (kNN on DINOv2 embeddings) with suggested labels.
- Self-healing training and up to 100 automatic retries on failed runs.
- Own-GPU and multi-machine training (ensemble or weight-averaged), not available in Obviously.ai.
- One-switch API deploy serving sklearn, PyTorch, ONNX, Keras, and YOLO, with a snippet playground.
| Dimension | TensorTurn | Obviously.ai |
|---|---|---|
| No-code / ease | Plain-English chat, tabular + image | Very simple, tabular-focused for business users |
| Own-GPU support | Connect and combine your own GPUs | No, managed cloud only |
| Automated data checks | Deep tabular + image health checks with fixes | Basic data handling, tabular only |
| Training | AI generates + self-heals; many frameworks | Automated tabular model building |
| Deploy as API | One-switch endpoint, multiple model formats | API/predictions available (tabular) |
| Price | Free ₹0/mo; Pro ₹899/mo (beta) | Paid plans, typically higher; tabular scope |
Which should you pick?
Pick Obviously.ai if you're a business user who only needs tabular predictions and wants the simplest possible flow. Pick TensorTurn if you want that same no-code ease but also image models, deeper and more transparent data checks, self-healing runs, or the ability to train on your own GPUs, often at a lower, more predictable price.
Frequently asked questions
Does TensorTurn do tabular predictions like Obviously.ai?
Yes. Upload a CSV or Excel file, describe what you want to predict, and TensorTurn builds a tabular model (scikit-learn, XGBoost) with automated checks for leakage, outliers, correlations, and mixed types, plus a preprocessing playbook.
Can TensorTurn do image models? Obviously.ai can't.
Yes. TensorTurn handles image classification and detection with PyTorch, Keras, and YOLO/Ultralytics, and runs image-specific health checks like duplicate, blur, and likely-mislabeled detection.
Is TensorTurn as easy as Obviously.ai for non-technical users?
The core flow is similarly no-code, since you describe the model in plain English. TensorTurn exposes more (data health reports, notebooks you can inspect, own-GPU options), which is more capable but slightly more to look at.
Can I train on my own hardware?
With TensorTurn, yes. Connect your own GPU with one command and even combine several machines into one run. Obviously.ai runs only on its managed cloud.
Which is cheaper?
TensorTurn has a free tier (₹0/mo) and a ₹899/mo Pro plan. Obviously.ai's paid plans are generally higher and scoped to tabular use.