JUPYTER
Project Jupyter is an open-source initiative that develops software, open standards, and services for interactive computing, best known for Jupyter Notebooks and JupyterLab, which allow users to create and share documents containing live code, equations, visualizations, and narrative text. It serves data scientists, researchers, educators, and engineers across academia and industry by providing tools for reproducible research and data analysis. The project is primarily funded through grants, sponsorships, and institutional support rather than traditional commercial revenue.
- Data Integration & ETL
- Business Intelligence & Dashboards
- MLOps & ML Platforms
- Revenue
- $3.0M
- Employees
- 25
- Founded
- 2014
- Headquarters
- Berkeley, United States of America
What 44 Arbolus experts think of JUPYTER
Overall sentiment for Jupyter is strongly positive, with 85% of experts assigning NPS scores of 8 or higher and consistently citing it as critical to their workflows. Renewal intent is high, especially among technical users and influencers. Stickiness is demonstrated by widespread multi-year usage and deep integration into data science processes. Key positive themes include flexibility, the free model, and powerful Python integration. Main concerns center on insufficient collaboration features, fragility for long jobs, memory scalability, and weak version control.Positive
Who reviewed JUPYTER
- C-Suite 47% (21)
- Director 26% (11)
- Manager 26% (11)
Employer names and spend open in the full report, along with the other 41 customers.
Everything 44 customers told us about JUPYTER.
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
56 Net Promoter Score, from 44 scored reviews- Promoters 27
- Passives 15
- Detractors 2
Cumulative NPS by month
+0 over 6 months- Apr 9
- Jun 8
- Jul 9
- Aug 9
- Sep 9
- Oct 9
Net Promoter Score across 3 reviews, accumulated up to each month. Category median 50 across 3 companies.
Praised
- Enhanced Collaboration Features
- AI-Driven Orchestration
- Cloud Scalability
- Integration with Python Ecosystem
Criticised
- Manual Reliability Work
- Collaboration and Version Control Limitations
- Limited Scalability and Memory Constraints
- Workflow Fragility and Scalability
What customers say
Renewal intent
Plan to renew 60%Plan to renew, by seniority
- 67% 3 answers
- 50% 2 answers
- 100% 2 answers
- 33% 3 answers
- 9/10 Average score from customers who will renew
- 9.3/10 Average score from undecided customers
Top alternatives
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