Trackio vs Valohai
Trackio
huggingface.co
Valohai
valohai.comSide by side
| Figure | Trackio | Valohai |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Experiment Tracking | 7.4 (#11) | 7.4 (#12) |
| Spec score · ML Experiment Tracking Software | 7.4 (#20) | 7.4 (#21) |
| Integrations | Trackio documents native integrations with Transformers and TRL, plus a RapidFire AI integration for fine-tuning and RAG experiments. | Its ecosystem lists a Hugging Face template and connectors for Snowflake, BigQuery, and Redshift, plus Slurm cluster management integration. |
| Intended users | Trackio describes itself as designed for autonomous ML experiments and provides CLI commands and Python APIs for agents to log and query experiment data. | Valohai presents the platform for ML teams that need to build, test, and deploy models while managing compute, datasets, and pipelines. |
| Purpose | Trackio is a lightweight Python library for tracking machine learning experiments, built on Hugging Face Buckets and Spaces. | Valohai describes itself as an MLOps platform for orchestrating machine learning workflows and managing compute, datasets, and pipelines. |
Plans
In their own words
Trackio
Trackio is a free Python library for recording and comparing machine-learning experiments, built on Hugging Face Buckets and Spaces. Its API follows the wandb.init, wandb.log, and wandb.finish patterns and is documented as a drop-in replacement for compatible workflows. A dashboard runs locally by default, while logs can be stored locally, in a Hugging Face Bucket, or on a self-hosted server. Runs record metrics and configuration, and the dashboard groups them for comparison. Logging can include tables, Markdown reports, images, video, audio, 3D objects, HTML, and Matplotlib or Plotly figures. Optional packages enable NVIDIA GPU or Apple Silicon monitoring. Trackio documents integrations with Transformers and TRL, plus RapidFire AI for fine-tuning and RAG experiments. Alerts can be printed, stored, queried, shown in the dashboard, or sent through Slack and Discord webhooks. The dashboard can also run as an HTTP API and MCP server; mutation tools are gated by a write token. For self-hosted servers outside Hugging Face Spaces, ingestion and uploads require a write token that the documentation says to keep secret on untrusted networks. Trackio has no first-class hyperparameter sweep API; its docs describe using Python loops with one run per configuration.