Intellisense very slow with Jedi

I found some duplicates but most of them are closed with no suitable solution.

The only solution I found was to switch the Server Language from Jedi to Microsoft, which is not a suitable solution.

I also tried “python.analysis.cachingLevel”: “Library” without success.

Environment data

• VS Code version: 1.48.2
• Extension version (available under the Extensions sidebar): 2020.8.106424
• OS and version: OSX 10.15.4 (MBP 13" 2016)
• Python version (& distribution if applicable, e.g. Anaconda): 3.7.2 64-bit
• Type of virtual environment used (N/A | venv | virtualenv | conda | …): N/A
• Relevant/affected Python packages and their versions: All heavy ones (pandas, numpy, etc.) but also simple ones
• Relevant/affected Python-related VS Code extensions and their versions: N/A
• Value of the python.languageServer setting: Jedi

Expected behaviour

Few ms to load tooltip.

Actual behaviour

Few seconds to load tooltip (> 5 seconds)

Steps to reproduce:

import pandas as pd pd.

[alcpereira]

I’m not sure to understand the solution given by #11995. Could you be more specific please?

I’ve checked pylance before submitting this issue but like I said it’s not a suitable solution to switch from jedi to microsoft or pylance. Also tbh I don’t really like the decision of making it as a closed source, and the reviews are not very good. I’ll give it a chance if I don’t find any suitable solution for Intellisense with Jedi and in a few more months.

[kimadeline]

Now that #11995 has been implemented, the Python extension only relays what is being returned by the Jedi language server. If it is still slow, please open an issue upstream on the jedi-language-server repo.