Machine Learning · head to head
Jupyter vs Mode

Jupyter
Machine Learning
Interactive computing across all programming languages
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Jupyter notebook format makes version control and collaboration difficult with multiple contributors; Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- They diverge on capability: Jupyter covers Interactive notebooks, Mode covers SQL Editor.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Jupyter and Mode actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Jupyter
- Interactive notebooks
- Live code execution
- Rich visualizations
- Markdown documentation
- Multi-language kernels
- Python
- R
- Julia
Only in Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- BigQuery
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Jupyter
- Machine learningnot Mode
- Data analysisnot Mode
- Model trainingnot Mode
- Predictive analyticsnot Mode
Mode
- Self-service analyticsnot Jupyter
- Data explorationnot Jupyter
- Ad-hoc reportingnot Jupyter
- Collaborative analysisnot Jupyter
- Embedded analyticsnot Jupyter
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Jupyter
- Notebook format makes version control and collaboration difficult with multiple contributors
- Performance degrades with large datasets due to loading entire dataset into memory
- Debugging capabilities limited compared to traditional IDEs
- No paid support or commercial backing
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
Pricing, plan by plan
Jupyter
FreeNo published plan breakdown. See the Jupyter review.
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
Which should you pick?
Choose Jupyter if
- You need interactive notebooks.
- You want to start without paying.
- You work on Web, Cross-platform, Linux, macOS, Windows.
- You also want live code execution.
Choose Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Questions people ask
- Is Jupyter or Mode better?
- Neither clearly leads. Jupyter starts at Free and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jupyter or Mode?
- Jupyter starts at Free and Mode at Free.
- Does Jupyter or Mode run on more platforms?
- Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. Mode runs on Web.
- Can I use Jupyter for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Jupyter best used for?
- Jupyter is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Mode is typically brought in for.
- What can Jupyter do that Mode cannot?
- Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. Both handle Web support.
Answered from the vendors’ own pages
Jupyter: Is Jupyter free to use?
Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.
SourceMode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
SourceJupyter: What programming languages does Jupyter support?
Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.
SourceMode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
SourceJupyter: What is JupyterLab?
JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.
SourceMode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
SourceRelated pages
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- Mode vs Python
- Mode vs MATLAB
- Mode vs Dataiku
- Mode vs scikit-learn
- Mode vs JMP
- Mode vs Orange
- Mode vs TensorFlow
- Mode vs KNIME
- Mode vs PyTorch
- Mode vs Weights & Biases
- Mode vs Mistral AI
- Mode vs Ollama
- Mode vs OpenRouter
- Mode vs Pachyderm
- Mode vs RapidMiner
- Mode vs Keras
- Mode vs Periscope Data
- Mode vs Domo
- Mode vs Fabi
- Mode vs Deepnote
- Mode vs Yellowfin
- Mode vs TIBCO Spotfire
- Mode vs Hex
- Mode vs GoodData
- Mode vs Grow
- Mode vs Qlik Sense
- Mode vs Databox
- Mode vs Cube
- Mode vs Jedox
- Mode vs Logi Analytics
- Mode vs Luzmo
- Mode vs NetBase Quid
- Mode vs Phocas
- Mode vs Preset

