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Updated 11 Nov 2026 · prices read on vendor pages

8 best Hugging Face alternatives in 2027

Mehmet ElmicenniReviewed by Mehmet Elmicenni, founder of Zekai•Prices checked •How we check

The short answer

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.

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Best overallSee in table →
Databricks Mosaic AI logo

Databricks Mosaic AI

Free plan; paid price not published · free plan

8.6
Best free planSee in table →
Ollama logo

Ollama

Free to self-host · MIT

9.1
Best open sourceSee in table →
ZenML logo

ZenML

Free to self-host · Apache-2.0

8.0
8alternatives compared
3with a free plan
3open source
$39/mo (hosted)cheapest paid · ZenML
$9/moHugging Face starts at
01 · Zekai Price Ledger

Which Hugging Face alternatives are worth it in 2027?

The closest Hugging Face alternatives for building and deploying models are Databricks Mosaic AI, Azure Machine Learning and Amazon SageMaker AI on the cloud side, plus Together AI and Replicate for hosted open models. Open-source choices are ZenML, MLflow and Ollama. Pick by whether you need a model hub, training pipelines or inference.

ToolTypeStarting priceFree plan limitBest forCost for your teamChecked
Hugging Face logo
Hugging FaceThe tool you are replacing
 You are here
$9/moPRO, personal monthly (Team $20/user, Enterprise $50/user)
 100 GB private storage, free CPU Spaces Hub for open models, datasets and demo Spaces — 11 Nov 2026 Pricing ↗
Databricks Mosaic AI logo
Databricks Mosaic AI Zekai score 8.6Best overall
 Free
Free plan; paid price not published
 Free trial and limited Community Edition Enterprise data and ML platform $0 11 Nov 2026 Pricing ↗
Azure Machine Learning Zekai score 7.7Cheapest paid
Not checked
 No free plan ML training and deployment on Azure — 11 Nov 2026 Pricing ↗
Amazon SageMaker AI logo
Amazon SageMaker AI Not yet reviewed by Zekai
 Free
Free plan; paid price not published
 2-month free tier, e.g. 250 notebook hours Managed ML build, train and deploy on AWS $0 11 Nov 2026 Pricing ↗
Together AI logo
Together AI Zekai score 9.1
 Free
Free plan; paid price not published
 Start for free, credit amount not stated Hosted open-model inference and fine-tuning $0 11 Nov 2026 Pricing ↗
Replicate logo
Replicate Zekai score 8.3
Not checked
 No free plan Run models by API, billed per second — 11 Nov 2026 Pricing ↗
Ollama logo
Ollama Zekai score 9.1Best free plan
 Open source
Free (self-hosted)
 No limit, self-hosted (MIT) Run open models on your own machine $0 11 Nov 2026 Pricing ↗
ZenML logo
ZenML Zekai score 8.0Best open source
 Open source
$39/mo (hosted)Pro Starter, monthly (1 project, unlimited seats)
 No limit, self-hosted (Apache-2.0) Open-source ML pipeline orchestration — 11 Nov 2026 Pricing ↗
MLflow logo
MLflow Zekai score 8.4
 Open source
Free (self-hosted)
 No limit, self-hosted (Apache-2.0) Open-source experiment tracking and tracing $0 11 Nov 2026 Pricing ↗

Every price was read on the vendor's own pricing page on the date shown. The Cost Finder assumes one entry plan per person, so it multiplies by your team size; yearly prices are shown per month, and team or business plans can cost more per seat. "Not checked" means we could not confirm a public price.

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02 · Free plan

Is there a free version of Hugging Face?

Yes. Hugging Face has a free account with free CPU Basic and ZeroGPU Spaces, and the storage docs state 100 GB of private storage for free users and orgs. The pricing page does not list the free plan's quotas; PRO is $9 a month, Team $20 and Enterprise $50 per user.

Source: Hugging Face pricing page, read 11 Nov 2026.

Free$0

100 GB private storage, free CPU Spaces

Paid from$9/mo

PRO, personal monthly (Team $20/user, Enterprise $50/user)

03 · Free alternatives

What are the best free Hugging Face alternatives?

Ollama runs models on your own hardware with unlimited use on its Free plan. SageMaker AI has a 2-month free tier including 250 notebook hours, Databricks offers a free trial and a limited Community Edition, and ZenML and MLflow are free to self-host. Azure Machine Learning has no platform fee but bills compute.

Databricks Mosaic AI logo

Databricks Mosaic AI

Best overallFree
Free trial and limited Community Edition
vs Hugging Face →Zekai review
Amazon SageMaker AI logo

Amazon SageMaker AI

Free
2-month free tier, e.g. 250 notebook hours
vs Hugging Face →
Together AI logo

Together AI

Free
Start for free, credit amount not stated
vs Hugging Face →Zekai review
04 · Open source

What are the best open-source Hugging Face alternatives?

ZenML (Apache-2.0) orchestrates ML pipelines, MLflow (Apache-2.0) tracks experiments and traces, and Ollama (MIT) runs open models locally. None of them replaces Hugging Face's public model and dataset hub, so most teams pair one with the Hub. Each is self-hosted, so you pay for your own servers or GPUs.

Ollama logo

Ollama

MIT★ 180.5k GitHub stars · Sep 2026
To self-host: Install with the shell script, Windows installer or Docker image and run a model such as gemma4; a REST API listens on localhost:11434.
Zekai open-source pageSource code ↗Managed hosting slot
ZenML logo

ZenML

Apache-2.0★ 5.6k GitHub stars · Sep 2026
To self-host: Install with pip install zenml[server], run zenml init and zenml login; production use needs the server deployed separately and a client pointed at it.
Zekai open-source pageSource code ↗Managed hosting slot
MLflow logo

MLflow

Apache-2.0★ 28.8k GitHub stars · Nov 2026
To self-host: Start the tracking server with uvx mlflow server and open the UI at localhost:5000; point your Python code at that tracking URI.
Zekai open-source pageSource code ↗Managed hosting slot
05 · Side by side

How does Hugging Face compare with each alternative?

Hugging Face is a hub for models, datasets and Spaces, with PRO at $9 a month, Team at $20 per user and Enterprise at $50 per user. Cloud platforms such as SageMaker, Databricks and Azure ML bill compute instead, Together AI and Replicate bill inference, and the open-source tools handle pipelines or local runs.

01
Databricks Mosaic AI logo

Hugging Face vs Databricks Mosaic AI

Best overallFreeFree plan; paid price not published8.6
The differenceUsage 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 to Databricks Mosaic AI ifyour training data already lives in a lakehouse and you want ML, governance and serving in one billed platform
Stay with Hugging Face ifyou mainly want a public hub of shared models and datasets with a flat personal plan
Pros
  • Unified platform: Consolidates data engineering, ML development, and MLOps, eliminating toolchain fragmentation and accelerating time-to-insight.
  • Lakehouse architecture: Merges data lake flexibility with data warehouse reliability, ensuring data quality and simplifying governance for all data types.
Cons
  • Enterprise pricing can be a barrier for smaller teams or individual practitioners.
  • The comprehensive nature of the platform may have a steeper initial learning curve compared to specialized, single-purpose tools.

Pros and cons from the Zekai review of Databricks Mosaic AI

Visit Databricks Mosaic AIRead the Zekai reviewPrice alert
02

Hugging Face vs Azure Machine Learning

Cheapest paidNot checked7.7
The differenceThe 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 to Azure Machine Learning ifyour company runs on Azure and wants model training billed only as compute and storage
Stay with Hugging Face ifyou want community-shared models and demo Spaces rather than a cloud account to administer
Pros
  • Comprehensive ML lifecycle support: Facilitates end-to-end model development, from data prep to MLOps, streamlining workflows for data scientists.
  • Flexible development environments: Supports diverse approaches, catering to diverse skill sets and preferences.
Cons
  • Steep learning curve for advanced features: Mastering the full breadth of MLOps and enterprise-grade configurations can require significant investment in learning.
  • Cost management complexity: Pay-as-you-go can lead to unexpected expenses if compute and storage are not carefully monitored and optimized.

Pros and cons from the Zekai review of Azure Machine Learning

Visit Azure Machine LearningRead the Zekai reviewPrice alert
03
Amazon SageMaker AI logo

Hugging Face vs Amazon SageMaker AI

FreeFree plan; paid price not published
The differencePay-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 to Amazon SageMaker AI ifyou deploy on AWS and want managed training, notebooks and endpoints with Savings Plans
Stay with Hugging Face ifyou want to start from a shared model or dataset instead of provisioning instances
Visit Amazon SageMaker AIPrice alert
04
Together AI logo

Hugging Face vs Together AI

FreeFree plan; paid price not published9.1
The differenceServerless 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 to Together AI ifyou want to call open models through an API and pay per token or per GPU hour
Stay with Hugging Face ifyou need to host your own datasets, model repos and Spaces demos in one place
Pros
  • Access to a wide library of top open-source models
  • No infrastructure to manage for serverless endpoints
Cons
  • Requires technical expertise to configure and manage
  • Pricing varies significantly depending on model and token volume

Pros and cons from the Zekai review of Together AI · Verdict: Open-source AI cloud

Visit Together AIRead the Zekai reviewPrice alert
05
Replicate logo

Hugging Face vs Replicate

Not checked8.3
The differencePublic 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 to Replicate ifyou want to run a published model behind an API and pay only for run time
Stay with Hugging Face ifyou want to host the model files, datasets and a demo app in one account
Pros
  • Few lines of code to call a model from Node, Python or HTTP
  • Setup and idle time on public models is free
Cons
  • No fixed monthly plan; costs scale with usage
  • Private models bill for setup and idle time

Pros and cons from the Zekai review of Replicate · Verdict: Pay-as-you-go model API

Visit ReplicateRead the Zekai reviewPrice alert
06
Ollama logo

Hugging Face vs Ollama

Best free planOpen sourceFree (self-hosted)9.1
The differenceRuns 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 to Ollama ifyou want to run open models on your own hardware instead of a hosted hub
Stay with Hugging Face ifyou need a public place to share, version and discover models and datasets
Visit OllamaRead the Zekai reviewPrice alert
07
ZenML logo

Hugging Face vs ZenML

Best open sourceOpen source$39/mo (hosted) · checked 11 Nov 20268.0
The differenceOrchestrates 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 to ZenML ifyou need reproducible training pipelines and run tracking you can self-host
Stay with Hugging Face ifyou want ready-made models and datasets instead of building the pipelines yourself
Visit ZenMLRead the Zekai reviewPrice alert
08
MLflow logo

Hugging Face vs MLflow

Open sourceFree (self-hosted)8.4
The differenceTracks 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 to MLflow ifyou want to log and compare your own training runs on infrastructure you control
Stay with Hugging Face ifyou want to browse and download community-trained models and datasets
Visit MLflowRead the Zekai reviewPrice alert
06 · What changed

Why do people leave Hugging Face?

  • 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. (source)

  • Free accounts get 100 GB of private storage; public storage is best-effort, and the docs direct heavy users to PRO, Team or Enterprise. (source)

  • Dedicated hardware is billed hourly: Spaces Nvidia T4 small is $0.40 an hour and Inference Endpoints start at $0.033 an hour, so always-on GPUs add up monthly. (source)

08 · FAQ

Questions people ask about Hugging Face alternatives

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.

09 · Method

How did Zekai check this page?

Zekai independently reviews AI tools. For this page we read each vendor's own pricing and product pages and recorded the starting price, the free-plan limit and the date of the check. Only tools that do the same job as Hugging Face are listed, and sponsors never change the order or the scores.

Mehmet Elmicenni, founder of Zekai
Mehmet Elmicenni

Founder of Zekai. Reviews the alternatives pages and the price checks behind them.

About the founder · How Zekai scores tools

JSON copyMarkdown copy
1 · Same job onlyEvery alternative does the same task as Hugging Face; tools for other jobs are left out.
2 · Vendor pages onlyPrices and free limits come from each vendor's own pricing page, never from blogs.
Zekai score0–10, from four published weights: ease 25%, output quality 30%, value 20%, time saved 25%. How we score
3 · Re-checkedA price older than 35 days is re-read or the page falls back to an older version.
Change log

  • Page rebuilt on v6; all prices re-read on vendor pages.

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