DagsHub vs Graviti

DagsHub helps developers and teams manage machine-learning projects, from data collection and dataset curation through annotation, experimentation, and model management. A project workspace can hold code, data, experiments, models, pipelines, and annotations together. The platform is designed for text, images, audio, video, documents, medical imaging, and binary files. Experiment tracking supports run comparison, metric and parameter visualization, real-time progress monitoring, and reproducibility. Data Engine provides curation, visualization, quality review, lineage, hard-example mining, labeling, auto-labeling, and data streaming. Official integrations include tools such as GitHub, Google Colab, DVC, MLflow, Jenkins, Label Studio, Google Drive, Weights & Biases, and Hugging Face; hosted projects also have support for the MLflow and Label Studio APIs. DagsHub hosts data but does not provide compute, so projects rely on local, cloud, or edge infrastructure. Enterprise installations can run on-premises, in a VPC, in air-gapped environments, and in OpenShift environments. The Individual plan is free, with stated private-repository limits; paid pricing starts at $99/user/mo billed annually, and a 14-day trial is available.

Graviti is a data platform for organizing unstructured data used in analytics and AI. It brings raw files, metadata, and semantic data into one place, with customizable filters for querying the latter two. Datasets can be managed through commits and branches, using incremental versioning that avoids duplicating data. Supported material includes images, video, lidar formats such as .pnts, .pcd, .bin, .las, and .ply, as well as time-series and fusion datasets. Annotation options include Classification, Box, Polygon, Polyline, and Cuboid. Users can inspect data and annotation distributions online through lists, histograms, and pie charts without downloading datasets or writing code. Developers can work through a Python SDK, OpenAPI, or command-line interface. Processing workflows can run on commits or manually, and their jobs can use any programming language with Graviti APIs. The platform also offers role-based dataset access, GroundTruth Tools, and marketplace integrations. It is available through web and API. The Starter plan is free; paid plans start at $200/mo, and a 14-day trial is available.