llog verzeichnet 0 monatliche Besuche mit 0 % Wachstum gegenüber dem Vormonat und einem Preismodell „Preise auf Anfrage“. Rerun verzeichnet 54.018 monatliche Besuche mit -23,7 % Wachstum und einem Preismodell „Kostenlos“.
llog is a workspace that helps ML research teams set up, launch and reproduce experiments. It turns YAML configs and argparse code into visual templates, launches runs on your own servers or via SLURM, and uses AI to visualise results and manage pipeline data.
Rerun is an open-source SDK and visualizer for multimodal, multi-rate data, positioned as the data layer for physical AI. Using Python, Rust, or C++ APIs, developers can log robotics, computer vision, and sensor data and review it in a viewer that handles time series and 3D together.
| Dimension / Kennzahl | | |
|---|---|---|
| Offizielle Domain | llog.ai | rerun.io |
| Preismodell | Preise auf Anfrage | Kostenlos |
| Monatliche Besuche | 0 (0) | 54.018 (54.018) |
| MoM-Traffic-Delta | 0 (0 %) | -16.775 (-23,7 %) |
| Primärmarkt und Anteil | 🌐 Global (—) | 🇺🇸 Vereinigte Staaten (33,9 %) |
| Direkte Besuche / Monat | 0 | 24.880 |
| Nutzerbewertung | 3,8 | 4,6 |
| Unterstützte Plattformen | Website | Website |
llog is a workspace that helps ML research teams set up, launch and reproduce experiments. It turns YAML configs and argparse code into visual templates, launches runs on your own servers or via SLURM, and uses AI to visualise results and manage pipeline data.
llog turns YAML configs and argparse code into guided, visual templates so experiments are reproducible by default.
Modify experiment parameters visually in a web GUI instead of editing files by hand, and add a new parameter across an entire pipeline in one click.
Visualise experiment outputs without writing code, and ask the AI questions to plot features in your data.
Launch and run experiments on your own server or through SLURM, with version control so runs can be reproduced.
Rerun is an open-source SDK and visualizer for multimodal, multi-rate data, positioned as the data layer for physical AI. Using Python, Rust, or C++ APIs, developers can log robotics, computer vision, and sensor data and review it in a viewer that handles time series and 3D together.
Log, store, and view images, point clouds, 3D transforms, and time series together in one viewer.
Record multi-rate, multimodal data as column-chunks in rrd files, or convert from other formats.
Run full dataframe or SQL queries over robotics data, down into columns, time ranges, and values.
Add derived columns and evolve schemas without breaking history, on the edge or near the data.
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Kostenlos / Open SourceLLM-Evaluation, Observability und Red Teaming unternehmensweit standardisieren
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Die Control Plane für vertrauenswürdige Enterprise-Agenten und -Modelle
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