| Name | Version | Summary | date |
| passivetotal |
2.4.0 |
Library for the RiskIQ PassiveTotal and Illuminate API |
2021-05-10 16:45:42 |
| osaca |
0.4.3 |
Open Source Architecture Code Analyzer |
2021-05-10 11:12:42 |
| spyder |
5.0.2 |
The Scientific Python Development Environment |
2021-05-10 04:31:42 |
| biomass |
0.4.0 |
A Python Framework for Modeling and Analysis of Signaling Systems |
2021-05-10 03:08:01 |
| NNSAtool |
0.0.2 |
Neural Network Semantic Analysis tool |
2021-05-09 16:34:44 |
| coolisf |
0.2.3b2 |
A Python 3 implementation of the Integrated Semantic Framework that provides computational deep semantic analysis by combining structural semantics from construction grammars and lexical semantics from ontologies in a single representation. |
2021-05-09 14:56:02 |
| radon |
4.5.1 |
Code Metrics in Python |
2021-05-09 14:36:08 |
| pymatgen |
2022.0.8 |
Python Materials Genomics is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project (https://www.materialsproject.org). |
2021-05-09 13:00:17 |
| ta-py |
1.0.2 |
ta.py is a Python package for dealing with financial technical analysis |
2021-05-09 11:43:20 |
| pyrotein |
0.1.4 |
A tiny package for structure analysis of macromolecules. |
2021-05-08 19:26:38 |
| stock-backtest |
0.1.0 |
stock-backtest is a python library for stock technical analysis backtest on Python 3.7 and above. |
2021-05-08 17:00:28 |
| vermin |
1.2.0 |
Concurrently detect the minimum Python versions needed to run code |
2021-05-08 11:12:48 |
| pytsal |
1.1.0 |
An easy to use open-source python framework for Time Series analysis, visualization and forecasting along with AutoTS |
2021-05-08 10:18:03 |
| smartsim |
0.3.1 |
AI Workflows for Science |
2021-05-08 01:56:30 |
| deephit |
0.0.17 |
A Deep Learning Approach to Survival Analysis with Competing Risks, Reference: C. Lee, W. R. Zame, J. Yoon, M. van der Schaar, "DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks, AAAI Conference on Artificial Intelligence (AAAI), 2018 Paper: http://medianetlab.ee.ucla.edu/papers/AAAI_2018_DeepHit Supplementary: http://medianetlab.ee.ucla.edu/papers/AAAI_2018_DeepHit_Appendix |
2021-05-08 00:02:07 |
| assemblyline-core |
4.0.0.42 |
Assemblyline 4 - Core components |
2021-05-07 14:22:04 |
| ghostipy |
0.1.0 |
Signal processing and spectral analysis toolbox |
2021-05-06 17:29:30 |
| assemblyline-ui |
4.0.0.44 |
Assemblyline 4 - API and Socket IO server |
2021-05-06 17:15:12 |
| assemblyline |
4.0.0.33 |
Assemblyline 4 - Automated malware analysis framework |
2021-05-06 16:56:06 |
| earthengine-api |
0.1.264 |
Earth Engine Python API |
2021-05-06 15:43:40 |