Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

• bsfc
Bayesian Spectral Fitting Code (BSFC)

• dbscan1d
dbscan1d is a package for DBSCAN on 1D arrays. (https://…/sklearn.cluster.DBSCAN.html ) does not have a special case for 1D, where calculating the full distance matrix is wasteful. It is much better to simply sort the input array and performing efficient bisects for finding closest points. Here are the results of running the simple profile script included with the package. In every case DBSCAN1D is much faster than scikit learn’s implementation.

• kinlin
WIP: PyTorch based framework

• macad-gym
Learning environments for Multi-Agent Connected Autonomous Driving (MACAD) with OpenAI Gym compatible interfaces

• pyTokenizer
A streaming tokenizer.

• syllogio-identifyPropositions
Identify natural language propositions in a written argument.

• TeaML
Automated Modeling in Financial Domain. TeaML is a simple and design friendly automatic modeling learning framework.

• timeseriesql
A Pythonic query language for time series data

• trendln
Support and Resistance Trend lines Calculator for Financial Analysis

• deepstack
DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level