Metrics Libraries

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Metrics Libraries

Django Authentication Backend For Passkeys

Passkeys is an extension to Web Authentication API that will allow the user to login to a service using another device. Passkeys are now supported on On May 3, 2023, Google allowed the use of Passkey…

Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.

Start all services with docker-compose Dashboard screenshot: Grafana provides a great solution, which could observe specific actions in service between traces, metrics, and logs through trace ID and …

An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.

Our core developers have been building time-series data platforms for years. Based on our best-practices, GreptimeDB is born to give you: Seamless scalability from a standalone binary at edge to a ro…

🤖 Template for telegram bot using postgres, pgbouncer, redis, docker, amplitude, prometheus, grafana, CI

start services make migrations start the necessary services (at least the database and redis) start telegram bot start admin panel make migrations to launch the bot you only need a token bot, datab…

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

[Last updated on 19th Aug 2022] This is a series of lecture notes that I prepared in my statistics tutorial (used prepared for one-night new-hire statistical training in hedge fund), which are suppos…

Machine learning metrics for distributed, scalable PyTorch applications.

Simple installation from PyPI Install using conda Pip from source Pip from archive Extra dependencies for specialized metrics: Install latest developer version TorchMetrics is a collection of 90+ PyT…

Machine learning metrics for distributed, scalable PyTorch applications.

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

:zap: Data quality management for SQL, Spark, and Pandas-accessible data

Soda Core is a free, open-source, command-line tool that enables you to use the Soda Checks Language to turn user-defined input into aggregated SQL queries. When it runs a scan on a dataset, Soda Cor…

DoubleML - Double Machine Learning in Python

It further can be readily extended with regards to To install DoubleML with pip use DoubleML can be installed from source via If you use the DoubleML package a citation is highly appreciated: Bibtex-…

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Please include these citations if you plan to use this library: After installation, you can import Permetrics as any other Python module: Below is the most efficient and effective way to use this lib…

Instrument your FastAPI with Prometheus metrics.

Instrument your app with default metrics and expose the metrics: Depending on your code you might have to use the following instead: With this, your FastAPI is instrumented and metrics are ready to b…

A Python toolbox for computer vision research and project

Volkscv is a foundational python library for computer vision research and deployment projects It provides the following functionalities. We have tested the following versions of OS and softwares: 1.I…

A python script that will parse the nginx access.log and send geolocation metrics and log metrics to InfluxDB

A python script that will parse the nginx access.log and send geolocation metrics and log metrics to InfluxDB The InfluxDB database will be created automatically with the name you choose. If you sepa…

MoSQITo is a unified and modular development framework of key sound quality metrics favoring reproducible science and efficient shared scripting among engineers, teachers and researchers community.

The objective of MOSQITO is to provide a unified and modular development framework of key sound quality tools (including key SQ metrics), favoring reproducible science and efficient shared scripting …

Ballcone is a fast and lightweight server-side Web analytics solution.

Ballcone is a fast and lightweight server-side Web analytics solution. It requires no JavaScript on your website. For better performance, Ballcone inserts data in batches, committing them to DuckDB e…

Machine learning based causal inference/uplift in Python

causeinfer can be downloaded from PyPI via pip or sourced directly from this repository: Separate models for treatment and control groups are trained and combined to derive average treatment effects…

🗣️ Tool to generate adversarial text examples and test machine learning models against them

This library allows you to generate texts using these methods, and simulate these kind of attacks on your machine learning models. By exposing your model to these texts offline, you will be able to b…

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

pymia is an open-source Python (py) package for deep learning-based medical image analysis (mia). The package addresses two main parts of deep learning pipelines: data handling and evaluation. The pa…

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

You can also perform direct policy learning from observational data, using the doubly robust method for offline policy learning. These methods directly predict a recommended treatment, without intern…

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Discover fun stats about your Facebook Messenger usage such as: most used words, most active year, most active hours, etc. using this Jupyter Notebook

Have you downloaded your Facebook data? Are you curious/concerned about your Messenger usage? Discover fun stats about your Facebook Messenger usage such as: most used words, most active year, most a…

Extract minutiae features from fingerprint images

The important fingerprint minutiae features are the ridge endpoints (a.k.a. Terminations) and Ridge Bifurcations. The feature set for the image consists of the location of Terminations and Bifurcatio…

Using oriented gabor filters to enhance fingerprint images

Uses oriented gabor filter bank to enhance the fingerprint image. The orientation of the gabor filters is decided by the orientation of ridges in the input image. The sample images are stored in the …

Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://oss-augur.readthedocs.io/en/main/ and learn more about Augur at our website https://augurlabs.io

We gather trace data for a group of repositories, normalize it into our data model, and provide a variety of metrics about said data. The structure of our data model enables us to synthesize data acr…

Python client for App Enlight

The App Enlight developer documentation contains the most up to date information,including implementation guides in popular python web frameworks. Before you can use the client inside your applicatio…

Command line interface used by all WakaTime text editor plugins.

Install the plugin for your IDE/editor: Each plugin either comes pre-bundled with WakaTime CLI, or downloads the latest version from GitHub for you. Each plugin also has its own log file: Useful API …