ExpView
ExpView is a terminal-based analytics and visualization tool inspired by Excel.
Designed for developers and data scientists, it displays pandas DataFrames directly in the terminal using the Curses library — with fast navigation, shortcut keys, and instant refresh.
ExpView can integrate with experiment pipelines: pass variable configurations to external programs, collect CSV/TSV/JSON outputs, manage configurations, and visualize results with matplotlib to analyze parameter effects and performance trends.
Installation
pip install expview
This installs ExpView and its dependencies.
Quick Start
Go to examples folder, and run:
expview results.csv
If you have multiple datasets in a folder, just run:
expview
For full documentation, refer to the GitHub homepage.
1 maintainer
Release files for expview 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| expview-0.1.3.tar.gz | 75.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| expview-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 154.2 kB
Release files / expview-0.1.3.tar.gz
| Download URL | expview-0.1.3.tar.gz |
|---|---|
| Size | 75.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
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Release files / expview-0.1.3-py3-none-any.whl
| Download URL | expview-0.1.3-py3-none-any.whl |
|---|---|
| Size | 78.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
