Which tool is best for data science?
Asked "Which tool is best for data science?", ChatGPT, Copilot, Gemini, Google AI Mode and Perplexity named 46 distinct tools across 15 answers on September 7, 2026, and 29 of them in two or more answers, and all 5 engines agreed on Python, the only tool every engine named.
29 of 46 names confirmed · named in 2 or more of 15 answers · asked September 7, 2026 · 5 engines
Python is widely considered the best overall tool for data science due to its versatility and massive ecosystem of libraries. However, the choice of tool also depends on specific goals, such as data extraction, machine learning, or data visualization. A strong data science setup typically combines a programming language, a robust ecosystem of libraries, and a good analytics platform.
- 1Pythonnamed in 15 of 15 answers
- 2Rnamed in 13 of 15 answers
- 3Tableaunamed in 11 of 15 answers
- 4scikit-learnnamed in 10 of 15 answers
- 5SQLnamed in 9 of 15 answers
- 6Matplotlibnamed in 8 of 15 answers
- 7Power BInamed in 8 of 15 answers
- 8Pandasnamed in 7 of 15 answers
- 9TensorFlownamed in 7 of 15 answers
- 10Seabornnamed in 6 of 15 answers
- 11NumPynamed in 5 of 15 answers
- 12Jupyter Notebooksnamed in 5 of 15 answers
- 13JupyterLabnamed in 5 of 15 answers
- 14Databricksnamed in 5 of 15 answers
- 15PyTorchnamed in 5 of 15 answers
- 16Apache Sparknamed in 4 of 15 answers
- 17Jupyter Notebooknamed in 4 of 15 answers
- 18VS Codenamed in 3 of 15 answers
- 19Microsoft Power BInamed in 3 of 15 answers
- 20Julianamed in 2 of 15 answers
- 21Plotlynamed in 2 of 15 answers
- 22D3.jsnamed in 2 of 15 answers
- 23Gitnamed in 2 of 15 answers
- 24GitHubnamed in 2 of 15 answers
- 25H2O.ainamed in 2 of 15 answers
The full measurement
- The position each of the 5 engines gave all 46 names.
- How many of the 15 answers named each of them.
- 181 sampled observations behind this ranking, and where the engines disagree.
- Fan-out — the query each engine actually searched.
- Every citation, and the sources nobody cited.