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.

starline
Unofficial python library for StarLine API

adafdr
A fast and covariate-adaptive method for multiple hypothesis testing. Software accompanying the paper ‘AdaFDR: a Fast, Powerful and Covariate-Adaptive Approach to Multiple Hypothesis Testing’, 2018.

Alexa-Payloads
A Python Library to interface with Alexa

antspyx
Advanced Normalization Tools in Python

deepevent
Deep Learning to identify gait events. We propose a new application (_DeepEvent_) of long short term memory recurrent neural network to the automatic detection of gait events. The 3D position and velocity of the markers on the heel, toe and lateral malleolus were used by the network to determine Foot Strike (FS) and Foot Off (FO). The method was developed from 10526 FS and 9375 FO from 226 children. _DeepEvent_ predicted **FS** within **5.5 ms** and **FO** within **10.7 ms** of the gold standard (automatic determination using force platform data) and was more accurate than common heuristic marker trajectory-based methods proposed in the literature and another deep learning method.

GoogleActions
A Python Library to interface with Alexa

gsclight
A simplified package for Google Search Console API. A simplified, object-oriented helper library for the (https://…/search-console-api-original ). This package only covers basic API calls and was mainly created for practice purposes. To get the full Google Search Console API experience see Josh Carty’s (https://…/google-searchconsole ).

numba-scipy
numba-scipy extends Numba to make it aware of SciPy. numba-scipy extends Numba to make it aware of SciPy. Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.

pyus
GPU-accelerated Python package for ultrasound imaging.

sparkle_test
A small and simple base class for fast and clean PySpark unit tests. Unit testing in Spark is made easier with sparkle-test, the settings are tuned for performance and your unit tests don’t leave any files in your workspace. There is one convenience method for asserting dataframe equality.

Swarmrob
An Orchestration Tool for Container-based Robot Applications. Because of the very heterogeneous composition of software and hardware in robotics, the reproduction of experiments is a common problem. SwarmRob is a python framework that uses container technologies and orchestration to enable the simple sharing of experimental artifacts and improve the reproducibility in robotics research.

Swarmrob-Worker
An Orchestration Tool for Container-based Robot Applications. Because of the very heterogeneous composition of software and hardware in robotics, the reproduction of experiments is a common problem. SwarmRob is a python framework that uses container technologies and orchestration to enable the simple sharing of experimental artifacts and improve the reproducibility in robotics research.

trvae
trVAE – Regularized Conditional Variational Autoencoders

airtunnel
Airtunnel – tame your Airflow

deepposekit
A toolkit for pose estimation using deep learning. DeepPoseKit is a software toolkit with a high-level API for 2D pose estimation of user-defined keypoints using deep learning – written in Python and built using [Tensorflow](https://…/tensorflow ) and [Keras](https://…/keras ). Use DeepPoseKit if you need:
• tools for annotating images or video frames with user-defined keypoints
• a straightforward but flexible data augmentation pipeline using the [imgaug package](https://…/imgaug )
• a Keras-based interface for initializing, training, and evaluating pose estimation models
• easy-to-use methods for saving and loading models and making predictions on new data

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