ML FLOW
MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, model packaging, and deployment. It provides tools and APIs for data scientists and ML engineers to log runs, register models, and reproduce workflows across different environments. The project is primarily maintained by Databricks and is adopted by organizations to standardize and operationalize their machine learning processes.
- MLOps & ML Platforms
- Employees
- 20
- Founded
- 2018
- Headquarters
- San Francisco, United States of America
What 8 Arbolus experts think of ML FLOW
NPS scores range from 7 to 10, with the majority of respondents in the Promoter (9-10) and Passive (7-8) categories. Both influencers and users report consistently positive experiences. All experts with renewal intent data indicated yes, and most are in the MoreThan1Year implementation stage, showing established stickiness. High customer satisfaction aligns with longer term usage and active spend.Overall Customer Sentiment: Positive
Who reviewed ML FLOW
- C-Suite 43% (3)
- Director 14% (1)
- Manager 43% (3)
Employer names and spend open once the report publishes.
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Sentiment
62 Net Promoter Score, from 8 scored reviews- Promoters 5
- Passives 3
- Detractors 0
Cumulative NPS by month
+2 over 5 months- Feb 7
- Apr 8
- Jun 9
- Jul 8
- Sep 9
Net Promoter Score across 1 reviews, accumulated up to each month. Category median 62 across 1 companies.
Written answers and themes publish with the full report.
Renewal intent
Plan to renew 100%Plan to renew, by seniority
- 100% 2 answers
- 100% 1 answer
- 8.7/10 Average score from customers who will renew
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