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Crowdee vs DagsHub

Crowdee

crowdee.ai

DagsHub

dagshub.com

Side by side

FigureCrowdeeDagsHub
Price fromFree$8.25/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published45
Spec score · Data Version Control Tools8.5 (#8)9.3 (#1)

Plans

Crowdee

  • FreeFree
  • Pay-as-you-go€0.05, paid once
  • EnterprisePrice not published
  • Managed CampaignsPriced on request

Crowdee pricing →

DagsHub

  • IndividualFree
  • IndividualFree
  • Team$99 a year
  • Team$119 a month
  • EnterprisePriced on request

DagsHub pricing →

In their own words

Crowdee

Crowdee is a content-verification platform for checking articles, social posts, images, audio, video, documents, URLs and claims. It combines automated triage with access to more than 1 million screened crowd workers, who can provide independent verdicts, reviewer agreement and written reasoning. Its 14 pipelines cover media, text and documents, social and web context, identity and multi-file checks; automation, APIs and scheduled pipelines support different workflows. Evidence and reviewer feedback can be exported in a PDF dossier for editorial or legal review. Pay-as-you-go and higher plans include a REST API. The free plan allows one image check per IP address every 24 hours, with uploads up to 10 MB. Pay-as-you-go costs €0.05, paid once, with no commitment. Managed Campaigns and Enterprise use custom pricing. Crowdee lists hosting on dedicated servers in German data centres, with automation hardware in Berlin, and says customer content is not used to train foundation models. It is aimed at newsrooms, compliance teams and AI researchers.

Visit crowdee.ai

DagsHub

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.

Visit dagshub.com