Metric Libraries

45 Components & Libraries

Sortby

Metric 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…

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

In detail, the following signed or directed graph neural networks, as well as related methods designed for signed or directed netwroks, were implemented. Binaries are provided for Python version >…

🤖 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…

Torchmetrics - 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 100+ Py…

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…

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

These lecture notes are intended for introductory linear algebra courses, suitable for university students, programmers, data analysts, algorithmic traders and etc. The lectures notes are loosely bas…

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

Python project trying to facilitate and being a starting point for soccer analytics projects.

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…

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Skeletons are a compact representation that can be used to visualize objects, trace the connectivity of an object, or otherwise analyze the object's geometry. Kimimaro was designed for use with high …

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

This is a lightweight python script that fuses multiple registered color and depth images into a projective truncated signed distance function (TSDF) volume, which can then be used to create high qua…

A python parametric CAD scripting framework based on OCCT

CadQuery is an intuitive, easy-to-use Python module for building parametric 3D CAD models. Using CadQuery, you can write short, simple scripts that produce high quality CAD models. It is easy to make…

TypeDB-ML is the Machine Learning integrations library for TypeDB

You may find the following resources useful, particularly to understand why TypeDB-ML started: Python >= 3.7.x It's expected that you will use Pip to install, but should you need to make your own …

🗣️ 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…

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

In this repo, we provide the Tensorflow and PyTorch implementations of our evaluation code for PieAPP v0.1 along with the trained models. We also provide a Win64 command-line executable. The input to…

Related tags