Search Results for "analytics"
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Showing 37 open source projects for "analytics"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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Payments you can rely on to run smarter.Accept payments at your counter or on the go. It’s easy to get started. Try the Square POS app on your phone or pick from a range of hardworking hardware.
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Laravel Analytics
A Laravel package to retrieve pageviews and other data
One of our more popular packages is laravel-analytics. The package makes it easy to fetch information such as pageviews, top referrers, etc... from the Google Analytics API. In our Blender-based projects we use the fetched data to display a nice chart in the admin section. Laravel-analytics is one of the first packages we ever created. Since the first release the preferred way of authenticating with Google has changed. -
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Dash
Build beautiful web-based analytic apps, no JavaScript required
...Built on top of Plotly.js, React and Flask, Dash easily achieves what an entire team of designers and engineers normally would. It ties modern UI controls and displays such as dropdown menus, sliders and graphs directly to your analytical Python code, and creates exceptional, interactive analytics apps. Dash apps are very lightweight, requiring only a limited number of lines of Python or R code; and every aesthetic element can be customized and rendered in the web. It’s also not just for dashboards. You have full control over the look and feel of your apps, so you can style them to look any way you want. -
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write... -
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Apache Spark
A unified analytics engine for large-scale data processing
...Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science. -
Lightspeed golf course management softwareFrom tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
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Kapacitor
Open source framework for processing, monitoring, and alerting
Open source framework for processing, monitoring, and alerting on time series data. Kapacitor is a real-time data processing engine for monitoring and alerting, specifically designed to work with time-series data from InfluxDB. -
6
RevenueCat
In-app purchases and subscriptions made easy
...Our open-source framework provides a backend and a wrapper around StoreKit and Google Play Billing to make implementing in-app purchases and subscriptions easy. Send enriched purchase events to analytics and attribution tools with our easy integrations. Fetch products, make purchases, and check subscription status with our native SDKs. Host and configure products remotely from our dashboard. Analyze the most important metrics for your app business in one place. See customer transaction histories, chart lifetime value, and grant promotional subscriptions. -
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Flower
Flower: A Friendly Federated Learning Framework
...Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand. -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. -
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Apache InLong
Apache InLong - a one-stop integration framework for massive data
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data. InLong (应龙) is a divine beast in Chinese mythology who guides the river into the sea, and it is regarded as a metaphor of the InLong system for reporting data... -
Pest Control Management SoftwareBuilt for the pest control industry, but also works great for Mosquito Control, Bin Cleaning, Window Washing, Solar Panel Cleaning, and other Home Service Businesses in need of an easy-to-use software that helps you simplify routing, scheduling, communications, payment processing, truck tracking, time tracking, and reporting.
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Hugo
The world’s fastest framework for building websites
...It takes Hugo around 1 millisecond to render each piece of content, making it the fastest tool of its kind. Hugo supports unlimited content types, and ships with pre-made templates to make SEO, analytics and many other functions quick and easy to achieve. It’s got a robust theming system, capable of producing even the most complex websites. Hugo works well with just about any kind of website, be it a blog, tumble or doc. It works on macOS, Windows, Linux and FreeBSD. -
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Canvas
Publishing on your own terms
...Incorporate meaningful tags, informative meta data, and canonical links to boost rankings on search and social media. Not everyone needs the headache of setting up Google Analytics, so we built in just the best parts and added a couple of new ones. Access the Unsplash API directly inside the editor and give your content a splash of color with over 3 million free, hi-res images. -
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Fabric
Fabric is an open-source framework for augmenting humans using AI
Fabric is a command-line framework that turns a curated library of prompt “patterns” into reusable, automatable workflows for large language models. Instead of repeatedly crafting ad-hoc prompts, you pick a pattern (for research, summarization, brainstorming, code review, and more) and feed it inputs or files. The tool standardizes execution with configuration files and environment variables, enabling reproducible runs across different models and providers. Patterns can be customized with... -
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AMP
Web component framework for building ads, emails, websites and more
AMP is an open source web component framework that allows you to easily create user-first websites, ads, emails, stories and more. AMP creates fast, smooth-loading web pages that prioritize the user-experience, consistently providing a fast experience across all devices and platforms. -
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Bacalhau
Community-driven, simple, yet powerful framework
Bacalhau is a decentralized compute platform for running jobs on data stored across distributed networks, like IPFS or Filecoin, without moving the data to centralized cloud environments. It allows developers to run containerized workloads close to where the data lives, reducing latency, cost, and privacy risks. Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for... -
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Silverstripe CMS
Silverstripe CMS - this is a module for Silverstripe Framework
Silverstripe CMS is an intuitive content management system and flexible framework loved by editors and developers alike. Equip your web teams to achieve outstanding results. Silverstripe CMS fits the outcomes you want and doesn't force your business outcomes into an out-of-the-box solution. Customize to your needs. You can be the CMS expert in no time. Get started quickly and deliver your content to your users fast. Don’t stay awake at night worrying! Silverstripe CMS is solid as a rock,... -
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AWS Connected Device Framework
Managing connected devices
Managing connected devices involves multiple phases of a device's lifecycle. The phases a typical connected device goes through are : manufacturing, onboarding, operations, support and analytics. In each of these phases, a unique set of capabilities are required. The AWS Connected Device Framework (CDF) encompasses a set of modular micro-services (referred to simply as modules) to cater to connected devices in each of their lifecycle phases. The framework is particularly well suited for enterprise use cases that require product definition, onboarding and managing a diverse ecosystem of connected devices. ... -
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Eloquent Viewable
Associate views with Eloquent models in Laravel
Sometimes you don't want to pull in a third-party service like Google Analytics to track your application's page views. Then this package comes in handy. Eloquent Viewable allows you to easily associate views with Eloquent models. It's designed with simplicity in mind. This package stores each view record individually in the database. The advantage of this is that it allows us to make very specific counts. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. ... -
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Emitter
High performance, distributed, low latency publish-subscribe platform
...Emitter can be used for online gaming and mobile apps by satisfying the requirements for low latency, binary messaging, and high throughput. It can also be used for real-time web applications such as dashboards or visual analytics or chat systems. Moreover, Emitter is perfect for the internet of things and allows sensors to be controlled and data gathered and analyzed. Built to handle millions of messages per second and to scale horizontally. Uses standard MQTT protocol, binary messages and supports message filtering. Designed to ensure reliable, speed-of-light message delivery and high throughput. ... -
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DreamFactory
DreamFactory API Management Platform
...DreamFactory instantly creates a secure, standardized, reusable, fully documented, and live REST API. Connect Salesforce to SQL Server, or your ERP to AWS S3. Transform and mask data along the way. Create reports, analytics, and alerts. Empower teams to retrieve and distribute data on demand. Secure every API endpoint behind Active Directory, OAuth2, Okta, OpenID Connect, and more. Restrict capabilities using role-Based Access Controls. Easily manage API keys. Deploy behind firewalls and in air-gapped environments. Integrate legacy technology into cutting-edge applications, extending technology lifecycles and derisking legacy system replacements. -
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IVY
The Unified Machine Learning Framework
...For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an awesome model on GitHub, written in JAX. We'll use PerceiverIO as an example. Implement the model in PyTorch yourself, spending time and energy ensuring every detail is correct. ... -
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pH7 Social Dating CMS (pH7Builder)❤️
🚀 Professional Social Dating Web App Builder (formerly pH7CMS)
pH7Builder is a Professional, Free & Open Source PHP Social Dating Builder Software (primarily designed for developers ...). This Social Dating Web App is fully coded in object-oriented PHP (OOP) with the MVC pattern (Model-View-Controller). It is low resource-intensive, extremely powerful and highly secure. pH7Builder is included with over 42 native modules and is based on its homemade pH7 Framework which includes more than 52 packages To summarize, pH7Builder Social Dating Script... -
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Wooey
A Django app that creates automatic web UIs for Python scripts
Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data analysis, file processing, or anything else. The project was inspired by how simply and powerfully sandman could expose users to a database and by how Gooey turns ArgumentParser-based command-line scripts into WxWidgets GUIs. Originally two separate projects (Django-based djangui by Chris Mitchell and Flask-based Wooey by Martin Fitzpatrick) it has... -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or...
