A developer-first Supervisely alternative.
Annotate, train, and deploy image models from code - SAM3 auto-annotation, YOLOX and RF-DETR training, and inference APIs - on transparent USD pricing with a free tier. A lighter, API-first loop for 2D image computer vision.
Pictograph vs Supervisely
Where the two differ for a developer or team building and shipping vision models.
| Pictograph | Supervisely | |
|---|---|---|
| API-first, SDK-first design | Apps + SDK | |
| SAM3 point, box, and text prompts | SAM2 auto-label | |
| Free tier, no credit card | Community tier | |
| Train and deploy in one platform | ||
| Agent tool registry (Claude + OpenAI) | 37 tools | – |
| 3D / LiDAR point-cloud + DICOM annotation | – | |
| Self-hosted (on-prem) option | – | Enterprise Edition |
How the pricing compares
Real, publicly listed numbers - no fabricated figures.
| Pictograph | Supervisely | |
|---|---|---|
| Free tier | Free, no card, monthly compute | Community tier (free) |
| Entry paid plan | $29 / mo (Core) | ~€199 / mo (Pro) |
| Pricing model | Self-serve USD tiers | Pro tier + Enterprise quote |
| Public price list | Yes, all tiers | Pro listed; Enterprise by quote |
| Deployment | Managed cloud | Cloud + self-hosted (Enterprise) |
Supervisely is a broad computer vision data platform: it lists a free Community tier and a Pro plan around €199/month, with Enterprise pricing quoted by sales and shaped around 3D, medical, and on-prem programs. Pictograph is self-serve and publicly priced - free to start with no credit card, then Core $29, Pro $79, or Team $199 per month, with GPU work billed as pay-as-you-go USD. If you need the full modality breadth or a self-hosted deployment, Supervisely fits; if it is a code-driven annotate, train, and deploy loop for 2D images you run yourself, Pictograph does - at a fraction of the entry price.
Where Pictograph fits
Developers and teams who want to run the whole 2D-image loop themselves, from code. SAM3 automates point, box, and text-prompt labeling, training runs on managed GPUs across YOLOX, RF-DETR, and Segformer, and a trained model ships as one authenticated /predict endpoint - all from a typed SDK, a CLI, and a 37-tool agent registry. Pricing is transparent USD with a free tier and no credit card.
Where Supervisely leads
Supervisely is a broader data platform. It supports modalities Pictograph does not - 3D/LiDAR point clouds and DICOM medical volumes - carries a large ecosystem of installable apps through its AppEngine, and offers a self-hosted Enterprise Edition for strict data sovereignty. If you need those modalities, that app breadth, or on-prem deployment, it is worth a look. Pictograph focuses on the self-serve, code-first 2D image lane.
One code-first platform, no quote
Both platforms annotate, and both can train, but Pictograph is built to be driven end to end from code without a sales process in the way. The same REST API backs a typed Python SDK (pip install pictograph), a CLI, and the 37-tool agent registry, so an agent or a script can upload a dataset, label it with SAM3, launch a managed training run across YOLOX, RF-DETR, or Segformer, and stand up an inference endpoint - all self-serve. SAM3 understands point, box, and text prompts, exports cover seven formats, and every trained model ships as one authenticated /predict endpoint. You start on a public, free tier and scale on published USD prices rather than negotiating a quote.
Pictograph vs Supervisely FAQ
Is Pictograph a good Supervisely alternative?
Yes, for developers who want a self-serve, API-first loop for 2D image computer vision. Pictograph covers annotate, train, and deploy from code with SAM3 auto-annotation, YOLOX and RF-DETR training, and inference endpoints, on transparent USD pricing with a free tier and no credit card. Supervisely is the stronger fit if you need 3D/LiDAR point clouds, DICOM medical imaging, its large apps ecosystem, or a self-hosted enterprise deployment.
How does Pictograph pricing compare to Supervisely?
Pictograph is publicly priced and self-serve: free to start with no credit card, then $29 (Core), $79 (Pro), or $199 (Team) per month, with GPU work billed as pay-as-you-go USD. Supervisely offers a free Community tier and a Pro plan listed around €199/month, with Enterprise pricing quoted by sales. Pictograph’s entry paid tier is a fraction of Supervisely Pro, and every tier is publicly listed.
Does Pictograph support 3D point clouds or DICOM like Supervisely?
No. Pictograph focuses on 2D image annotation, training, and inference. Supervisely supports 3D/LiDAR point clouds and DICOM medical volumes across its platform, so if those modalities are core to your work, Supervisely is the stronger fit. For 2D image computer vision, Pictograph offers a lighter, API-first, cheaper-to-start loop.
Can I self-host Pictograph like Supervisely Enterprise Edition?
Pictograph is a managed cloud platform, and your datasets and models stay private on every tier, but it does not offer a self-hosted edition today. Supervisely offers a self-hosted Enterprise Edition for teams with strict data-sovereignty requirements. If on-prem deployment is a hard requirement, that is where Supervisely leads.
Is there a free way to try Pictograph?
Yes. The free plan is $0 with no credit card and includes monthly compute, 5,000 images, and 2 GB of storage - enough to auto-annotate with SAM3, train a model, and evaluate the result before committing. Manual annotation is always free.
Other Pictograph comparisons
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