PyFreya
Cohort Analysis Tool
Free software: MIT license
Documentation: https://pyfreya.readthedocs.io.
Features
Simulate retention
Estimate daily active users
Add revenue profiles
Handles and propagates uncertainties
History
0.2.1 (2020-04-13)
First release on PyPI.
Metadata
Release files for pyfreya 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfreya-0.3.0.tar.gz | 14.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfreya-0.3.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 31.8 kB
Release files / pyfreya-0.3.0.tar.gz
| Download URL | pyfreya-0.3.0.tar.gz |
|---|---|
| Size | 14.4 kB |
| Tags | Source |
|
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/1.14.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
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Release files / pyfreya-0.3.0-py2.py3-none-any.whl
| Download URL | pyfreya-0.3.0-py2.py3-none-any.whl |
|---|---|
| Size | 17.4 kB |
| Tags | Python 2 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.14.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
|