Kaggle Notebooks vs Hex

Kaggle Notebooks9.0Visit Hex8.7Visit

Higher score Kaggle Notebooks #4 in Notebook Software 9.0/10 Free plan Free plan✓ 3 of 3 features Visit Kaggle

vs

Hex #7 in Notebook Software 8.7/10 Free plan · 14-day trial Free planFree trial✓ 3 of 3 features Visit Hex

• Kaggle Notebooks fits best

  Free hosted notebooks with accelerators

• Hex fits best

  Analytics teams building shareable outputs

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature	Kaggle Notebooks 9.0/10 Visit ↗	Hex 8.7/10 Visit ↗
At a glance
Editor score	9.0	8.7
Ranking	#4 in Notebook Software	#7 in Notebook Software
Best for	Free hosted notebooks with accelerators	Analytics teams building shareable outputs
Pricing model	Free	Free plan + paid
Starting price	Free plan	$36/user/mo
Free plan	✓	✓
Free trial	—	14 days
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs, Community	Email, Live chat, Docs
Integrations	5 integrations	17 integrations
Built for	Solo, Small business, Mid-market	Solo, Small business, Mid-market, Enterprise
Features Kaggle Notebooks 3/3 · Hex 3/3
Real-time collaboration	✓	✓
Version history	✓	✓
GPU compute	✓	✓
Specs
Execution model	Hosted	Hosted
Supported languages	Python, R	SQL, Python, R
Notebook formats	.ipynb	Jupyter Notebook (.ipynb), Hex YAML (.yaml)
Our review
Pros	Free hosted Jupyter execution with GPU and TPU accelerators Docker-based environments with version snapshots and saved outputs Collaboration, scheduled runs, and dataset or model inputs	Supports SQL, Python, R, and no-code cells in one workspace Connects warehouses, databases, files, APIs, and workflow tools Combines collaboration, version restoration, dashboards, and published apps
Cons	Notebook language support is limited to Python and R The browser-based product is available on the web platform Additional compute or customization points to Google Cloud AI Notebooks	Professional limits published apps to five Advanced GPU compute is usage-based on Team and Enterprise Enterprise pricing and plan limits are not shown
Our verdict	Kaggle Notebooks is a browser-based notebook environment for data science and machine learning. It provides hosted Jupyter execution for Python and R, with .ipynb notebook support and optional GPU or TPU accelerators. Its inputs can… Read the review →	Hex is a hosted analytics platform built around interactive notebooks for data exploration, analysis, and shareable outputs. Analysts, data scientists, business users, and larger organizations can combine SQL, Python, R, and no-code cells;… Read the review →

Strengths and trade-offs

• Kaggle Notebooks — where it wins

  • Free hosted Jupyter execution with GPU and TPU accelerators
  • Docker-based environments with version snapshots and saved outputs
  • Collaboration, scheduled runs, and dataset or model inputs

  Where it doesn't

  • Notebook language support is limited to Python and R
  • The browser-based product is available on the web platform
  • Additional compute or customization points to Google Cloud AI Notebooks

• Hex — where it wins

  • Supports SQL, Python, R, and no-code cells in one workspace
  • Connects warehouses, databases, files, APIs, and workflow tools
  • Combines collaboration, version restoration, dashboards, and published apps

  Where it doesn't

  • Professional limits published apps to five
  • Advanced GPU compute is usage-based on Team and Enterprise
  • Enterprise pricing and plan limits are not shown

• Kaggle Notebooks9.0/10 · Free plan

  A free hosted Jupyter environment with collaboration, versioning, and GPU or TPU access.

  Visit KaggleFull verdict →
• Hex8.7/10 · Free plan · 14-day trial

  A flexible hosted notebook platform for collaborative analytics and published outputs.

  Visit HexFull verdict →