embedvisor

An all-in-one embeddings package in Python for data preprocessing: cleaning, visualization, clustering, etc. CLI support and an incoming LLM-based web app to recommend data preprocessing steps customized to your dataset and model requirements/goals.

Metadata

Release files for embedvisor 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for embedvisor 0.1.1
File	Size	Uploaded
embedvisor-0.1.1.tar.gz	11.4 kB	Jul 19, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for embedvisor 0.1.1
File	Interpreter	ABI	Platform	Reset
embedvisor-0.1.1-py3-none-any.whl 12.8 kB Jul 19, 2025	Python 3	none	any	Details

Total release size: 24.2 kB

Release files / embedvisor-0.1.1.tar.gz

Download URL	embedvisor-0.1.1.tar.gz
Size	11.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`8edc2d317496e92154dbf9de6e938f23a6d5330ec6fbd8c42c0f46b4cc29b43b`
BLAKE2b-256 checksum How to use checksums	`c3c768f2e79a4a09565498aa3a4d052a1136d7b7490ea4a9b786eefe79acbfd3`
Upload date	Jul 19, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.0`

Release files / embedvisor-0.1.1-py3-none-any.whl

Download URL	embedvisor-0.1.1-py3-none-any.whl
Size	12.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f7c112acee821e26986c5dd7095641f9e4a72cceb0a0799e3bcbc1e0e20b380a`
BLAKE2b-256 checksum How to use checksums	`4c835a4c943148cf602fe7660bf015a395d93fe763b8370b5626aaa5d7b8cbd0`
Upload date	Jul 19, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.0`