DagsHub vs TrueFoundry AI Gateway
DagsHub
dagshub.comTrueFoundry AI Gateway
truefoundry.comSide by side
| Figure | DagsHub | TrueFoundry AI Gateway |
|---|---|---|
| Price from | $8.25/mo | $25/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 9 |
| Spec score · Model Registry Software | 9.3 (#2) | 8.6 (#4) |
| Spec score · Model registries | 9.4 (#4) | 9.1 (#5) |
| Deployment options | Enterprise installations can run on-premises, in a VPC, in air-gapped environments, and in OpenShift environments. | The product is offered as SaaS and can also run in a customer VPC, on premises or in an air-gapped environment. |
| Funding | CB Insights reports $4.5 million raised across five rounds, including a $2.5 million seed round dated March 1, 2022. | TrueFoundry announced a $19 million Series A led by Intel Capital, bringing reported total funding to $21 million. |
| Rating on G2 | 4.8 out of 5 from 14 reviews | 4.6 out of 5 from 59 reviews |
| SDKs | The official client is a Python package installable with pip and includes experiment tracking, direct data access, streaming, uploads and Data Engine functions. | A public Python gateway SDK supports synchronous and asynchronous clients, streaming agent responses over Server-Sent Events, retries, pagination and custom clients. |
| What it does | DagsHub is a web platform for hosting, versioning and collaborating on machine-learning code, data, experiments, models and annotations. | TrueFoundry AI Gateway is a control layer that connects applications to models, tools and agents while centralizing routing, governance, observability and cost controls. |
Plans
DagsHub
- IndividualFree
- IndividualFree
- Team$99 a year
- Team$119 a month
- EnterprisePriced on request
TrueFoundry AI Gateway
- DeveloperFree
- DeveloperFree
- Pro$25 a month
- Pro$499 a month
- Pro Plus$2,999 a month
- TrueFoundry Pro (AWS Marketplace)$6,250 a month
- TrueFoundry Enterprise (AWS Marketplace)$12,500 a month
- TrueFoundry On-Prem (AWS Marketplace)$16,666.66 a month
- EnterprisePriced on request
In their own words
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.
TrueFoundry AI Gateway
TrueFoundry AI Gateway sits between applications and model providers to manage model access, routing, governance, observability, security, and cost controls. Its unified API supports chat, completion, embedding, and reranking models. TrueFoundry says the gateway connects to more than 1,000 LLMs across more than 35 platforms, including OpenAI, AWS Bedrock, Google Vertex AI, Azure OpenAI, and Anthropic. Routing options include latency-based selection, weighted load balancing, and automatic fallbacks. The service tracks token usage, latency, errors, and request volumes, and supports centrally stored request and response logs. Teams can set rate limits and cost or token quotas, with role-based access controls. MCP connections include tools such as Slack, GitHub, Confluence, and Datadog, with policies for tool calls. Deployment includes SaaS, with VPC, on-premises, and air-gapped options for Enterprise. Developer is free; Pro costs $25 a month, billed per user. Developer includes 10,000 requests per user monthly, while Pro includes 20,000 and charges $20 per additional 100,000 requests.