Search Results for "statistics" - Page 3
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Showing 1885 open source projects for "statistics"
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CLOC (Count Lines of Code)
Count lines of code in multiple languages with detailed statistics
cloc (Count Lines of Code) is a command-line tool that analyzes source code and reports the number of lines by language, distinguishing between code, comments, and blank lines. It supports hundreds of programming languages and is highly useful for estimating project size, comparing codebases, or tracking development progress. cloc can analyze entire directories, version control repositories, and even compressed archives. -
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Optopsy
A nimble options backtesting library for Python
...As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. Here we also use Panda's round() function afterwards to return statistics within two decimal places. -
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BPB-Worker-Panel
A GUI Panel providing Worker subscriptions for VLESS
BPB-Worker-Panel is a web interface for monitoring and managing distributed workers and task queues. It provides real-time statistics on job statuses, worker performance, queue lengths, and logs. Designed for systems using task handlers like Celery, Sidekiq, or custom job runners, the panel helps administrators visualize worker load, inspect tasks, and manually retry or delete them as needed. -
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DataProfiler
Extract schema, statistics and entities from datasets
...The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and more. Data Profiles can then be used in downstream applications or reports. -
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NBA Sports Betting Machine Learning
NBA sports betting using machine learning
NBA-Machine-Learning-Sports-Betting is an open-source Python project that applies machine learning techniques to predict outcomes of National Basketball Association games for analytical and betting-related research. The system gathers historical team statistics and game data spanning multiple seasons, beginning with the 2007–2008 NBA season and continuing through the present. Using this dataset, the project constructs matchup features that represent team performance trends and contextual information about each game. Machine learning models are then trained to estimate the probability that a team will win a game as well as whether the total score will fall above or below the sportsbook’s predicted total. ... -
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git-extra-commands
A collection of git utilities, useful extra git scripts, tutorials
...The collection includes tools for staging, amending, inspecting history, cleaning branches, resolving conflicts, and working with remotes. Other commands expose repository statistics, large files, ignored files, changed functions, default branches, and repository roots. Several helpers integrate with fzf for interactive commit, reflog, file, and reference browsing. The repository also collects useful Git aliases, installation methods, external utilities, articles, and practical configuration tips. -
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Perfect Roadmap To Learn Data Science
Basic To Intermediate Python data science guide
Perfect Roadmap To Learn Data Science In 2025 is an extended, updated learning pathway curated for the modern data-science landscape — blending classical data-analysis, statistics, machine learning, deep learning, computer vision, NLP, as well as current deployment and MLOps practices to prepare learners for data-science careers in 2025. The roadmap is organized to guide learners systematically: starting with Python fundamentals and math/statistics, then progressing through classical machine-learning, deep-learning, data preprocessing, feature engineering, and onto domain-specific applications like computer vision or NLP, ending with deployment, real-world project construction, and best practices for production readiness. ... -
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MNE-Python
Magnetoencephalography (MEG) and Electroencephalography EEG in Python
...MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more. -
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ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
ThinkStats2 is the code and text companion for the second edition of Think Stats, an introduction to statistics and data science for Python programmers. It teaches probability and statistical reasoning through short programs, experiments, and analysis of real datasets. The material emphasizes exploratory methods that help readers ask and answer practical questions with data. Case studies draw from public sources, including health-related datasets, to connect abstract concepts with realistic analysis. ... -
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cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio
Cracking the Data Science Interview is an open educational repository that collects study materials, resources, and reference links for preparing for data science interviews. The project organizes content across many fundamental areas of data science, including statistics, probability, SQL, machine learning, and deep learning. It includes cheat sheets that summarize important technical concepts commonly discussed during technical interviews. The repository also provides links to recommended books, tutorials, practice platforms, and blog posts that help learners strengthen their theoretical and practical skills. ... -
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Vortex
The LLVM of columnar file formats
Vortex is a high-performance toolkit designed for working with compressed Apache Arrow arrays, providing functionality for in-memory, on-disk, and over-the-wire data handling. It aims to be an advanced successor to Apache Parquet, offering dramatically faster random access reads and scans, while maintaining similar compression ratios. Vortex's modular design allows for extensibility, enabling developers to implement custom encodings for efficient data management, particularly for large-scale... -
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SiteOne Crawler
SiteOne Crawler is a website analyzer and exporter
...Works on all popular platforms - Windows, macOS, and Linux (x64 and arm64 too). It will crawl your entire website in depth, analyze and report problems, show useful statistics and reports, generate an offline version of the website, generate sitemaps, or send reports via email. Watch a detailed video with a sample report for Astro. build website. This crawler can be used as a command-line tool (see releases and video), or you can use a multi-platform desktop application with a graphical interface (see a video about the app). -
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ttl
Fast, modern traceroute with real-time TUI, per-hop stats
...It uses a full-screen terminal UI to continuously probe paths and refresh hop-by-hop measurements, which makes transient loss, jitter, and routing changes much easier to spot. The design emphasizes per-hop visibility with live statistics, and it enriches what you see by resolving network identity details like ASN and geolocation when available. It is also built for messy real-world routing, including multipath behavior, so it can probe with multiple flows and surface ECMP patterns instead of pretending there is only one stable route. For deeper path analysis, it can parse MPLS label information when present, helping you understand what a provider network is doing beyond plain IP hops. -
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Fast-CLI
Test your download and upload speed using fast.com
Fast-CLI is a command-line interface tool that allows users to test their internet connection speed using the Fast.com service. -
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MathPHP
Powerful modern math library for PHP
Math PHP is a library that brings advanced mathematical functions and data analysis capabilities to PHP applications. It covers a wide range of topics, including linear algebra, calculus, statistics, probability, and numerical analysis. Math PHP is designed for developers and data scientists who require precise and efficient mathematical computations in PHP, making it suitable for scientific computing and data processing. -
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Windrecorder
Windrecorder is a memory search app by records everything
Windrecorder is an open-source personal memory search engine that continuously records on-screen activity in a highly optimized and storage-efficient format. It captures screen content locally and builds a searchable database using OCR and image understanding, allowing users to rewind and rediscover anything they have previously seen. The system indexes only meaningful visual changes, extracting text, browser data, and contextual information to improve search accuracy and reduce storage... -
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SymPy
A computer algebra system written in pure Python
SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously... -
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Xiaomi Gateway 3
Home Assistant custom component for control Xiaomi Multimode Gateway
...The integration works by enabling local access and running gateway-side support logic so Home Assistant can communicate with Zigbee, BLE, and gateway features. It can expose connected Xiaomi ecosystem devices, handle gateway controls, work with device statistics, and support advanced configuration. It also includes modes for Zigbee Home Automation, Zigbee2MQTT, and custom Zigbee firmware workflows. XiaomiGateway3 is best for Home Assistant users who want local gateway integration without replacing supported Xiaomi gateway firmware. -
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DATA SCIENCE ROADMAP
Data Science Roadmap from A to Z
...The project presents a structured roadmap that outlines the knowledge and skills required for different stages of a data science career. Topics typically include programming with Python, statistics, mathematics, machine learning algorithms, data visualization, and big data technologies. The roadmap also includes links to courses, tutorials, and external resources that help learners study each topic in more depth. By organizing these subjects into a logical sequence, the repository helps beginners understand how different technical skills connect within the broader data science workflow. ... -
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Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
...The repository focuses on core data science fundamentals rather than acting as a software framework, which makes it especially useful as a study and revision resource. Its content is organized into subject-specific documents that cover machine learning, deep learning, statistics, probability, Python, SQL and databases, and resume-based interview questions. That structure makes it practical for users who want to study by topic, strengthen weak areas, or simulate the range of questions they may encounter in interviews. -
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Data Science Interviews
Data science interview questions and answers
...The repository organizes questions into different categories including theoretical machine learning concepts, technical programming questions, and probability or statistics problems. Many of the questions cover fundamental machine learning topics such as linear models, decision trees, neural networks, and evaluation metrics. In addition to theoretical questions, the repository also includes practical interview topics related to coding challenges, SQL queries, and algorithmic thinking. -
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CausalImpact
An R package for causal inference in time series
The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the... -
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whylogs
The open standard for data logging
...With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond simple mean, median, and standard deviation measures), the number of missing values, and a wide range of configurable custom metrics. By capturing these summary statistics, we are able to accurately represent the data and enable all of the use cases described in the introduction. -
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dperf
DPDK based 100Gbps network performance and load testing software
...Based on DPDK, dperf can generate huge traffic with a single x86 server: tens of millions of HTTP CPS，hundreds of Gbps throughput and billions of concurrent connections. Provides detailed statistics and identify every packet loss. Support multiple scenarios. Load testing and stability testing for Layer 4 Load Balancer and other Layer 4 gateways. Network performance testing for servers on cloud. Performance test of network package processing capability for NIC and CPU. Can be used as a high-performance HTTP server or client for load testing. -
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PgHero
A performance dashboard for Postgres
...PGHero supports customizable thresholds and notifications, so you can be alerted when slowness or index problems emerge. It also includes views of replication and connection statistics, helping teams monitor operational health without deploying external monitoring tools.
