Search Results for "python data analysis" - Page 2
Sort By:
Showing 52 open source projects for "python data analysis"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
-
1
BemiDB
Postgres read replica optimized for analytics
BemiDB is a high-performance, key-value database designed for efficient data retrieval and storage, optimized for applications requiring fast read and write operations. -
2
CursusDB
CursusDB is an open-source distributed in-memory database
CursusDB is a time-series database built for high-performance analytics and data processing, optimized for handling large volumes of sequential data efficiently. -
3
CloudQuery
The open-source cloud asset inventory powered by SQL
... with your current visualization, monitoring, and alerting such as Grafana. CloudQuery supports the TimescaleDB PostgreSQL extension, giving you full historical snapshots of your cloud asset inventory. Data analysis, security, auditing, and compliance. Leverage SQL to get visibility into your cloud infrastructure and SaaS applications. Build a cloud-asset inventory across any of our supported official or community providers. -
4
Go support for Protocol Buffers
The Go support for Google's protocol buffers
Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. With our new proto3... -
Build apps or websites quickly on a fully managed platformRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure.
-
5
kpt
Automate Kubernetes Configuration Editing
kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring process... -
6
Zinc Search Engine
ZincSearch. A lightweight alternative to elasticsearch
... way to get started and interact with your data. No need to set up a separate GUI like Kibana. Ingestion and search APIs are elasticsearch compatible, so you could easily migrate applications. Docs coming soon. No need to work hard to define schema ahead of time. ZincSearch automatically discovers schema, so you can focus on search and analysis. Store data in S3 and MinIO for low cost, virtually infinite durable storage without the hassle of managing storage. -
7
Fission
Fast and Simple Serverless Functions for Kubernetes
... on Kubernetes. Fission is open source under the Apache license. Fission works on a Kubernetes cluster anywhere: on your laptop, in any public cloud, or in a private data-center. Write your application with the flexibility of deploying it anywhere. Fission is extensible to any programming language (Python, NodeJS, Go, C#, PHP are supported today). It abstracts away containers by default, but you can build your own containers if you need to. -
8
Distributed Transactions Manager
A distributed transaction framework that supports multiple languages
Support HTTP and GRPC, provide easy-to-use interfaces, lower substantially the barrier of getting started with distributed transactions, and newcomers can adapt quickly. Developers no longer worry about suspension, null compensation, idempotent transaction, and other tricky problems, the framework layer handles them all. Suitable for companies with the multi-language stack. Easy for go, python, php, nodejs, ruby and so forth. The only external dependence is the database server, easy to deploy... -
9
Crawlab
Distributed web crawler admin platform for spiders management
Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate... -
No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
-
10
Grafana Phlare
Continuous profiling aggregation system
Phlare is a Grafana project focused on storing and querying continuous profiling data, helping developers monitor resource usage and optimize application performance. -
11
aqueduct LLM
Aqueduct allows you to run LLM and ML workloads on any infrastructure
Aqueduct is an MLOps framework that allows you to define and deploy machine learning and LLM workloads on any cloud infrastructure. Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions. Aqueduct's Python native API allows you to define ML tasks in regular Python code. You can connect Aqueduct to your existing... -
12
ezbookkeeping
A lightweight personal finance app hosted by yourself.
ezBookkeeping is a lightweight, self-hosted personal finance app with a sleek, user-friendly interface and powerful bookkeeping features. Built with simplicity and portability in mind, it's easy to deploy, easy to use, and requires minimal system resources — perfect for microservers, NAS devices, and even Raspberry Pi. The app is fully cross-platform and device-friendly — you can use it seamlessly on mobile, tablet, and desktop devices. With support for PWA (Progressive Web Apps), you can... -
13
MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
-
14
OpenCensus Libraries for Go
A stats collection and distributed tracing framework
OpenCensus and OpenTracing have merged to form OpenTelemetry, which serves as the next major version of OpenCensus and OpenTracing. OpenCensus is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems. -
15
Amazon SageMaker Operators Kubernetes
Amazon SageMaker operator for Kubernetes
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run... -
16
Horusec
Open source tool that improves identification of vulnerabilities
Horusec is an open source tool that performs a static code analysis to identify security flaws during the development process. Currently, the languages for analysis are C#, Java, Kotlin, Python, Ruby, Golang, Terraform, Javascript, Typescript, Kubernetes, PHP, C, HTML, JSON, Dart, Elixir, Shell, Nginx. The tool has options to search for key leaks and security flaws in all your project's files, as well as in Git history. Horusec can be used by the developer through the CLI and by the DevSecOps... -
17
Netcap
A framework for secure and scalable network traffic analysis
The Netcap (NETwork CAPture) framework efficiently converts a stream of network packets into platform-neutral type-safe structured audit records that represent specific protocols or custom abstractions. These audit records can be stored on disk or exchanged over the network, and are well-suited as a data source for machine learning algorithms. Since parsing of untrusted input can be dangerous and network data is potentially malicious, a programming language that provides a garbage-collected... -
18
GoReplay
The Swiss Army knife for testing and monitoring
Increase confidence in code deployments, configuration changes and infrastructure changes with GoReplay! GoReplay is an innovative open source tool that captures and replays live HTTP traffic, using it to continuously test your system with real data. Now you don’t have to put up with risks that come with putting a third-party component in the critical path. With GoReplay you can analyze and record your application traffic without affecting it whatsoever. Use it for shadowing, load testing... -
19
go-nsq
The Go package for NSQ
The Go package for NSQ. See godoc and the main repo apps directory for examples of clients built using this package. Tests are run via ./test.sh (which requires nsqd and nsqlookupd to be installed). Operationally, NSQ is easy to configure and deploy (all parameters are specified on the command line and compiled binaries have no runtime dependencies). For maximum flexibility, it is agnostic to data format (messages can be JSON, MsgPack, Protocol Buffers, or anything else). Go and Python... -
20
Mongoeye
Schema and data analyzer for MongoDB written in Go
MongoEye is a monitoring and analytics tool for MongoDB databases. It provides real-time performance insights, query optimization suggestions, and alerting capabilities to help database administrators improve efficiency and troubleshoot issues proactively. -
21
Gizmo Microservice Toolkit
A Microservice Toolkit from The New York Times
At The New York Times, our development teams have been adopting the Go programming language over the last three years to build better back-end services. In the past I’ve written about using Go for Elastic MapReduce streaming. I’ve also talked about using Go at GothamGo for news analysis and to improve our email and alert systems at the Golang NYC Meetup. We use Go for a wide variety of tasks, but the most common use throughout the company is for building JSON APIs. When we first began building... -
22
GoRose ORM
Mini database ORM for golang
GoRose (go orm), a mini database ORM for golang, which was inspired by the famous PHP framework laravel's eloquent. It will be friendly for PHP developers and python or ruby developers. Currently provides six major database drivers: MySQL, sqlite3, Postgres, Oracle, MySQL. GoRose 2.0 adopts a modular architecture, communicates through the API of the interface, and strictly depends on the lower layer. Each module can be disassembled or even customized to your liking. GoRose provides data object... -
23
Hercules
Gaining advanced insights from Git repository history
Fast, insightful and highly customizable Git history analysis. Hercules is an amazingly fast and highly customizable Git repository analysis engine written in Go. Batteries are included. Powered by go-git. There are two command-line tools: hercules and labours. The first is a program written in Go that takes a Git repository and executes a Directed Acyclic Graph (DAG) of analysis tasks over the full commit history. The second is a Python script that shows some predefined plots over... -
24
BDS
Blockchain data parsing and persisting results
JD Cloud Blockchain Data Service (BDS) is a real-time data aggregating, analyzing, and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability. Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing. Before... -
25
The Google Cloud Developer's Cheat Sheet
Cheat sheet for Google Cloud developers
..., identity and security tools, gaming, networking, data and analytics tools, database, storage, gaming tools, and many more.
