# Hugging Face Alternatives 2027: 8 Paid, Free & Open-Source

Source: https://zekaiwork.com/alternatives/hugging-face/
Prices checked: 2026-11-11 (Zekai Price Ledger)

The best Hugging Face alternatives in 2027 are Databricks Mosaic AI (best overall), Ollama (best free plan: Unlimited local model use) and ZenML (best open source, Apache-2.0). Hugging Face itself starts at $9/mo. Zekai checked these prices on vendor pages on 11 Nov 2026; 5 more are compared below, including 2 with a free plan and 1 open source.

| Tool | Type | Starting price | Free plan limit | Licence | Best for | Price checked | Links |
|---|---|---|---|---|---|---|---|
| Hugging Face (the tool being replaced) | — | $9/mo | 100 GB private storage, free CPU Spaces | — | — | 2026-11-11 | [pricing](https://huggingface.co/pricing) |
| Databricks Mosaic AI | Free | Free plan; paid price not published | Free trial and limited Community Edition | — | Enterprise data and ML platform | 2026-11-11 | [site](https://www.databricks.com/product/machine-learning) [pricing](https://www.databricks.com/product/pricing) [Zekai page](https://zekaiwork.com/ai-tools/databricks-mosaic-ai/) |
| Azure Machine Learning | Paid | Not checked | No free plan | — | ML training and deployment on Azure | 2026-11-11 | [site](https://azure.microsoft.com/en-us/products/machine-learning) [pricing](https://azure.microsoft.com/en-us/pricing/details/machine-learning/) [Zekai page](https://zekaiwork.com/ai-tools/azure-machine-learning/) |
| Amazon SageMaker AI | Free | Free plan; paid price not published | 2-month free tier, e.g. 250 notebook hours | — | Managed ML build, train and deploy on AWS | 2026-11-11 | [site](https://aws.amazon.com/sagemaker/) [pricing](https://aws.amazon.com/sagemaker/ai/pricing/) |
| Together AI | Free | Free plan; paid price not published | Start for free, credit amount not stated | — | Hosted open-model inference and fine-tuning | 2026-11-11 | [site](https://www.together.ai) [pricing](https://www.together.ai/pricing) [Zekai page](https://zekaiwork.com/ai-tools/together-ai/) |
| Replicate | Paid | Not checked | No free plan | — | Run models by API, billed per second | 2026-11-11 | [site](https://replicate.com) [pricing](https://replicate.com/pricing) [Zekai page](https://zekaiwork.com/ai-tools/replicate/) |
| Ollama | Open source | Free (self-hosted) | No limit (self-hosted) | MIT | Run open models on your own machine | 2026-11-11 | [site](https://ollama.com) [pricing](https://ollama.com/pricing) [code](https://github.com/ollama/ollama) [Zekai page](https://zekaiwork.com/free-open-source/ollama/) |
| ZenML | Open source | $39/mo (hosted) | No limit (self-hosted) | Apache-2.0 | Open-source ML pipeline orchestration | 2026-11-11 | [site](https://www.zenml.io) [pricing](https://www.zenml.io/pricing) [code](https://github.com/zenml-io/zenml) [Zekai page](https://zekaiwork.com/free-open-source/zenml/) |
| MLflow | Open source | Free (self-hosted) | No limit (self-hosted) | Apache-2.0 | Open-source experiment tracking and tracing | 2026-11-11 | [site](https://mlflow.org) [pricing](https://github.com/mlflow/mlflow) [code](https://github.com/mlflow/mlflow) [Zekai page](https://zekaiwork.com/free-open-source/mlflow/) |

## How each alternative compares with Hugging Face

- **Databricks Mosaic AI** (Free, Free plan; paid price not published): Usage is billed in DBUs per second on your cloud, with committed-use discounts; the pricing page offers a free trial and a limited Community Edition for learning Spark. Switch if your training data already lives in a lakehouse and you want ML, governance and serving in one billed platform. Stay with Hugging Face if you mainly want a public hub of shared models and datasets with a flat personal plan.
- **Azure Machine Learning** (Paid, Not checked): The page states no additional charge for Azure Machine Learning itself; you pay for compute plus services such as Blob Storage, Key Vault and Container Registry. Switch if your company runs on Azure and wants model training billed only as compute and storage. Stay with Hugging Face if you want community-shared models and demo Spaces rather than a cloud account to administer.
- **Amazon SageMaker AI** (Free, Free plan; paid price not published): Pay-as-you-go with no minimum fees; the free tier runs for the first 2 months and includes 250 notebook hours, 50 training hours and 125 real-time inference hours. Switch if you deploy on AWS and want managed training, notebooks and endpoints with Savings Plans. Stay with Hugging Face if you want to start from a shared model or dataset instead of provisioning instances.
- **Together AI** (Free, Free plan; paid price not published): Serverless per-token inference, dedicated GPUs from $5.49 an hour for H100, and fine-tuning billed per million training tokens, for open models rather than a hub. Switch if you want to call open models through an API and pay per token or per GPU hour. Stay with Hugging Face if you need to host your own datasets, model repos and Spaces demos in one place.
- **Replicate** (Paid, Not checked): Public models are billed by run time per second, for example $0.000225 a second on an Nvidia T4, while private models bill for all online time including idle. Switch if you want to run a published model behind an API and pay only for run time. Stay with Hugging Face if you want to host the model files, datasets and a demo app in one account.
- **Ollama** (Open source, Free (self-hosted)): Runs downloaded models locally with a REST API at localhost:11434; the Free plan has unlimited local use and Pro at $20 a month adds $60 of cloud usage credits. Switch if you want to run open models on your own hardware instead of a hosted hub. Stay with Hugging Face if you need a public place to share, version and discover models and datasets.
- **ZenML** (Open source, $39/mo (hosted), checked 2026-11-11): Orchestrates pipelines, traces and evals; the hosted Pro Starter plan is $39 a month with 100 pipeline runs, while the Apache-2.0 edition is self-run. Switch if you need reproducible training pipelines and run tracking you can self-host. Stay with Hugging Face if you want ready-made models and datasets instead of building the pipelines yourself.
- **MLflow** (Open source, Free (self-hosted)): Tracks experiments, traces and metrics through a local server at localhost:5000, with autologging for libraries such as OpenAI; it stores runs rather than public models. Switch if you want to log and compare your own training runs on infrastructure you control. Stay with Hugging Face if you want to browse and download community-trained models and datasets.

## Open-source options in detail

- **Ollama** (https://github.com/ollama/ollama): Licence: MIT
- **ZenML** (https://github.com/zenml-io/zenml): Licence: Apache-2.0
- **MLflow** (https://github.com/mlflow/mlflow): Licence: Apache-2.0

## Questions

### What is the best alternative to Hugging Face in 2027?
Databricks Mosaic AI is the best overall Hugging Face alternative on this page (Free plan; paid price not published). For no cost, Ollama has a free plan (Unlimited on your own hardware). To self-host, ZenML is open source (Apache-2.0).

### Is there a free version of Hugging Face?
Yes. Hugging Face has a free plan: 100 GB private storage, free CPU Spaces. Paid plans start at $9/mo, checked on 11 Nov 2026.

### Is there a 100% free alternative to Hugging Face?
Yes. Ollama, ZenML, MLflow are open source and free to self-host. Databricks Mosaic AI, Amazon SageMaker AI, Together AI have a free plan with limits, shown in the table.

### What is cheaper than Hugging Face?
Azure Machine Learning starts at Not checked, against $9/mo for Hugging Face, as listed on each vendor's pricing page on 11 Nov 2026.

### Which is better, Databricks Mosaic AI or Hugging Face?
Usage is billed in DBUs per second on your cloud, with committed-use discounts; the pricing page offers a free trial and a limited Community Edition for learning Spark. Choose Databricks Mosaic AI if your training data already lives in a lakehouse and you want ML, governance and serving in one billed platform. Stay with Hugging Face if you mainly want a public hub of shared models and datasets with a flat personal plan.

### Why are people leaving Hugging Face?
The documented reasons are: Storage above the plan allowance is billed per terabyte: public repos start at $12 a TB a month and private repos at $18, with discounts above 50 TB (11 Nov 2026); Free accounts get 100 GB of private storage; public storage is best-effort, and the docs direct heavy users to PRO, Team or Enterprise (11 Nov 2026). Each is sourced in the section above.

### What is better than Hugging Face?
No tool replaces the public Hub. For training and deployment, cloud platforms such as SageMaker, Databricks and Azure ML add managed compute and governance, while Together AI and Replicate focus on inference.

## Related on Zekai

- [AI for Software Development](https://zekaiwork.com/professions/ai-software-development-code-automation/)

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