Search Results for "code analysis"
Sort By:
Showing 55 open source projects for "code analysis"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
1
Source Code Hunter
Source code analysis of Spring, MyBatis, Redis, Netty, and more
Source Code Hunter is an open source project by Doocs that focuses on analyzing and explaining the source code of widely used Java frameworks and libraries. It helps developers deepen their understanding of internal implementations, design patterns, and performance optimizations by walking through actual codebases such as Spring, MyBatis, Netty, Tomcat, and others. The project aims to bridge the gap between theoretical knowledge and real-world application by providing step-by-step annotated... -
2
PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
...It supports both GitHub URL crawling and local directory analysis, and can tailor output tutorials to different languages, making it accessible for international developers. -
3
go-ast-book
Go Language Customization Guide
...The book focuses on the standard library packages behind this process, especially go/ast and go/token. It shows how tools such as formatting, documentation, parsing, and code analysis are built on top of syntax tree concepts. The repository includes chapter files, appendices, images, configuration, and build tooling for publishing the book online. It is aimed at Go developers who want to go beyond normal application programming and understand how Go code can be inspected, transformed, generated, and extended. -
4
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. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
LeetCode Book
Comprehensive study guide for coding interviews
LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include... -
6
AutoResearchClaw
Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞
AutoResearchClaw is an open-source framework designed to automatically generate full academic research papers from a single idea or topic. Built in Python, it orchestrates a multi-stage research pipeline that gathers literature, formulates hypotheses, runs experiments, analyzes results, and writes the final paper. The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run... -
7
Monolog
Sends logs to files, sockets, inboxes, databases and web services
Monolog sends your logs to files, sockets, inboxes, databases and various web services. See the complete list of handlers below. Special handlers allow you to build advanced logging strategies. This library implements the PSR-3 interface that you can type-hint against in your own libraries to keep a maximum of interoperability. You can also use it in your applications to make sure you can always use another compatible logger at a later time. As of 1.11.0 Monolog public APIs will also accept... -
8
Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and... -
9
OSCE3 Complete Guide
OSWE, OSEP, OSED, OSEE
...It organizes technical topics, learning resources, reviews, and practice material by certification track. The OSWE section focuses on web application security, source code analysis, injection flaws, deserialization, authentication weaknesses, and related vulnerabilities. OSEP material covers operating systems, evasion, lateral movement, credentials, Active Directory, and post-exploitation concepts. The repository also collects external references, labs, videos, write-ups, and exam experiences. Spreadsheet and XMind versions provide additional ways to navigate and track the study material. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
ThinkDSP
Digital Signal Processing in Python, by Allen B. Downey
Think DSP is an educational Python project that teaches digital signal processing through executable examples rather than starting with heavy mathematical formalism. It accompanies Allen B. Downey’s book and organizes most lessons as Jupyter notebooks. Readers work directly with waves, spectra, harmonics, filtering, convolution, and other signal-processing concepts. Early exercises show how to decompose sounds, modify frequency components, and synthesize new audio. The repository includes... -
11
Re-learning Java Design Patterns
Design-pattern learning project based on "Relearning Java Design"
...Instead of presenting design patterns as abstract theory, it teaches them through practical internet business scenarios. The repository includes examples drawn from transactions, marketing, flash-sale systems, middleware, source-code analysis, and other real development contexts. Its goal is to show how design patterns solve concrete engineering problems rather than simply naming pattern structures. The project is useful for Java developers who want to improve architecture thinking, code extensibility, and implementation discipline. It also serves as a companion codebase for readers who want to study each pattern through runnable Java examples. -
12
DiKTat
Strict coding standard for Kotlin and a custom set of rules
DiKTat is a strict coding standard for Kotlin, consisting of a collection of Kotlin code style rules implemented as Abstract Syntax Tree (AST) visitors built on top of KTlint. It serves the purpose of detecting and automatically fixing code smells in the Continuous Integration/Continuous Deployment (CI/CD) process. DiKTat has gained recognition and has been added to the lists of static analysis tools, kotlin-awesome, and kompar. -
13
Bloom Filter Analysis UCSB130A
Supporting Code for Bloom Filter Analysis UCSB CMPSC 130A F22
The full code set that corresponds to "Bloom Filters: A Look into its Design and an Analysis of its Performance", written by David Jr Sim. Instructions on how to use it are included in this project. This paper is in correlation with the University of California, Santa Barbara, Computer Science Undergraduate. -
14
Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks
...The project is designed for data scientists, researchers, and anyone transitioning into Python-based data work; it assumes you already know basic Python and focuses more on how to use the ecosystem effectively. Each chapter is a standalone Jupyter notebook, with runnable code, explanatory prose, visuals, and examples showing how to handle data-wrangling, exploratory data analysis, machine learning workflows, and visualization. The repository is freely available and the code is released under the MIT license; the textual content is released under a Creative Commons license. Users can also launch the notebooks in Google Colab or Binder directly, making it extremely accessible. -
15
Java Noodle Manual
The Java Face Sutra Manual consists of 5 chapters, 29 sections
...It uses interview questions as an entry point to explain deeper Java fundamentals instead of offering shallow memorization material. The content covers resume preparation, interview strategy, data structures, algorithms, concurrency, multithreading, JVM concepts, and source-code analysis. It includes practical examples so readers can test and verify the concepts while studying. The project is aimed at developers with some programming foundation, especially those with one to three years of experience preparing for stronger technical interviews. It is also useful for Java developers who want to understand why core APIs and runtime mechanisms behave the way they do. -
16
data-science-on-gcp
Source code accompanying book: Data Science on the GCP
The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training, and deployment. ... -
17
Polish to English translation aid
Polish to English translation aid. Automatic dictionary presentation.
Program displays morphological analysis and English word equivalents to enable a reader with little knowledge of Polish besides grammatical principles to read or translate Polish text. The program is in a prototype stage. The present mode of use is to take a Polish text and annotate with word by word morphological analysis and English equivalents for each possible Polish lemma. -
18
Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
This repository holds the R Markdown (.Rmd) source files for the PH525x / HarvardX course series (Data Analysis for the Life Sciences / Genomics) managed by GenomicsClass. It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. The repo is licensed under MIT, allowing reuse and modification. ... -
19
VXUG-Papers
Research code & papers from members of vx-underground
...It serves as a historical and technical reference rather than a single executable application. Due to the sensitive nature of some material, the collection is intended for legitimate research, education, and controlled analysis environments. -
20
Statistics for Data Scientists
"Statistics for Data Scientists: 50 Essential Concepts"
The “statistics-for-data-scientists” repository is a pedagogical resource designed to bridge rigorous statistics theory and practical data science workflows. The code and materials are intended to help data scientists and analysts grasp statistical principles (e.g. inference, regressions, hypothesis testing, probability, confidence intervals) in contexts relevant to real data analysis tasks. The repository includes Jupyter notebooks, R scripts, worked examples, and possibly problem sets that illustrate how statistical methods are applied to real datasets. ... -
21
Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. -
22
Python4Proteomics Course
Python course for Proteomics analysis
Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md -
23
Analyze
Draven's Blog
...Each analysis breaks down design choices, implementation details, and architectural patterns, making difficult topics more approachable. The repository emphasizes clarity and structured explanations, serving both as a study resource and a reference for engineers exploring system internals. By gathering analyses of diverse projects in one place, analyze helps learners and practitioners bridge the gap between theory and large-scale production code. -
24
ParseSourceCodeStudy
Facebook Open Source Parse Source Code Analysis
ParseSourceCodeStudy is a Chinese-language study repository analyzing the source code and design ideas behind Facebook’s open-source Parse platform. It focuses on iOS development concepts such as multithreading, GCD usage, networking, caching, and offline storage. The project is structured as a source-code study series rather than a standalone application framework. It helps developers learn by examining how a real-world open-source backend and client ecosystem approached common engineering... -
25
CS Books
Computer Science Books
Computer science books computer technology books PDF. The books in this warehouse come from the Internet, and the copyright belongs to the original author. It is not for profit, but only for learning and use.
