Alternatives to Beaker Notebook
Compare Beaker Notebook alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Beaker Notebook in 2026. Compare features, ratings, user reviews, pricing, and more from Beaker Notebook competitors and alternatives in order to make an informed decision for your business.
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Lumio
SMART Technologies
Lumio is a web-based learning platform that offers more ways to effortlessly make learning fun and engaging on student devices. Whether educators have PDFs, Google Slides, PowerPoint, or Notebook files, Lumio effortlessly transforms them into dynamic, engaging learning experiences on any device. Take students on an interactive journey filled with activities, games, group workspaces, formative assessments, and more, all from a single place. Lumio is specifically designed to improve student outcomes – it’s not just fun, it works! For schools and districts looking for instructional consistency and more efficient workflows, Lumio’s Spark plan offers a library to house approved curriculum content, integration with LMS platforms, and the ability for teachers to collaborate on content for increased productivity with minimal effort. Note: Lumio was formerly known as SMART Learning Suite Online (SLSO)Starting Price: $59 per teacher/year (USD) -
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Muse Spark 1.1
Meta
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. It is designed to operate across tools, MCP servers, custom skills, browsers, native apps, scripts, images, video, PDFs, and audio-based workflows. Developers can access Muse Spark 1.1 through the new Meta Model API public preview, while users can try it in Thinking mode in the Meta AI app and on meta.ai.Starting Price: $1.25 per 1M tokens (input) -
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Bokeh
Bokeh
Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.Starting Price: Free -
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PySpark
PySpark
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics. -
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Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
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Spark Streaming
Apache Software Foundation
Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability. -
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IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.
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marimo
marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git. 🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more ⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale 🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required 🔬 reproducible: no hidden state, deterministic execution, built-in package management 🏃 executable: execute as a Python script, parametrized by CLI args 🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM 🛢️ designed for data: query dataframes and databases with SQL, filter and search dataframes 🐍 git-friendly: notebooks are stored as .py files ⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and moreStarting Price: $0 -
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Study Fetch
StudyFetch
StudyFetch is a revolutionary new platform that allows you to upload your course materials and create interactive study sets. You can study with an AI tutor, create flashcards, generate notes, take practice tests, and more. Spark.e, our AI tutor, allows you to interact directly with your study materials. You can ask questions, create flashcards, take practice tests, and customize your learning experience. StudyFetch's AI, Spark.e, utilizes advanced machine learning algorithms to offer a tailored, interactive tutoring experience. Once you upload your study materials, Spark.e scans and indexes them, making the content searchable and accessible for real-time queries. -
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TableSpark
TableSpark
TableSpark is a restaurant website and management platform for independent UK restaurants. It turns an existing menu into a responsive, multilingual website and gives operators one place to manage structured menus, reservations, live table availability, floor plans and table assignments, deposits, reminders, online ordering, guest records, analytics, custom domains with managed SSL, POS connections and managed search readiness. Restaurants can build and review the complete site before publishing, update content themselves, and keep direct bookings and orders at 0% TableSpark commission. Published plans start at £19 per month excluding VAT.Starting Price: £19/month excluding VAT -
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IOMETE
IOMETE
IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control. Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual. Included in one platform: - Data Lakehouse(s) - Data Catalog - SQL Editor - Apache Spark Jobs - ML Notebooks - Orchestration Engine - Spark Connect Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible. Transparent pricing — CPU-based, no per-query fees, no billing surprises.Starting Price: Free -
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Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO). -
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Unity Spark
Unity Technologies
Unity Spark is a browser-based game creation product announced by Unity for people who want to make and share interactive games, including genre fans, artists, and modders without prior game-development experience. Its planned experience builds on Google Playground and the Unity runtime, with prompt-led creation, advanced mechanics, high-fidelity 3D capabilities, and a direct connection to the Unity Asset Store for artist-created assets. Unity describes Spark as a collaborative way to create, refine, and publish games. -
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JetBrains DataSpell
JetBrains
Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.Starting Price: $229 -
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Orange
University of Ljubljana
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. -
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MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
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ReSpark
ReSpark
ReSpark is the definitive software platform for metal recyclers, built to connect every part of the yard in one system. From scale ticketing and inventory to pricing, dispatch, exports, finance, reporting, and AI-powered workflows, ReSpark helps scrap yards run faster, cleaner, and with better visibility across the business. Whether you’re managing one facility or a multi-yard operation, ReSpark gives your team the tools to buy, process, sell, track, and reconcile material with less manual work and more confidence. Purpose-built for scrap, ReSpark brings together the best of ReMatter and GreenSpark to support 800+ scrap companies across 1,000+ facilities with a connected platform designed for how recyclers actually operate. -
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Managed Service for Apache Spark is a Google Cloud solution that simplifies running Apache Spark workloads with either serverless execution or fully managed clusters. It allows users to process large-scale data without needing to manage infrastructure, reducing operational complexity. The platform features Lightning Engine, which accelerates Spark performance by up to 4.9 times compared to open-source Spark. It supports data engineering, data science, and machine learning workflows at scale. Integration with Gemini enables AI-powered development, including automated code generation and troubleshooting. The service works seamlessly with open data formats like Apache Iceberg and integrates with tools like BigQuery and Knowledge Catalog. It offers flexible deployment options to suit different workloads and use cases. Overall, it provides a faster, smarter, and more efficient way to run Spark workloads in the cloud.
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Apache Kudu
The Apache Software Foundation
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use. -
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Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.Starting Price: $0.0085 per GB per hour
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Spark Inspector
Spark Inspector
With a three-dimensional view of your app's interface and the ability to change view properties at runtime, Spark can help you craft the best apps on earth. Wiring your app together with notifications? Spark's notification monitor shows you each NSNotification as it's sent, complete with a stack trace, a list of recipients and invoked methods, and more. Understand app structure at a glance and debug smarter. Connect your app to the Spark Inspector, and you'll see your app's interface front and center. As you interact with your app, the inspector updates in real-time! We monitor every change to your app's view hierarchy so you can always see what's going on. The view of your app you see in Spark isn't just beautiful, it's completely editable. You can modify almost every property of your views, from their class-level attributes to their CALayer transforms. When you make a modification, Spark invokes a method call within your app to directly modify that property.Starting Price: $49.99 one-time payment -
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Amazon EMR
Amazon
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting. -
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Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes. -
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Jovian
Jovian
Start coding instantly with an interactive Jupyter notebook running on the cloud. No installation or setup required. Start with a blank notebook, follow-along with a tutorial or use a starter template. Manage all your projects on Jovian. Just run jovian.commit() to capture snapshots, record versions and generate shareable links for your notebooks. Showcase your best work on your Jovian profile. Feature projects, notebooks, collections, activities and more. Track changes in code, outputs, graphs, tables, logs and more with simple, intutive and visual notebook diffs. Share your work online, or collaborate privately with your team. Let others build upon your experiments & contribute back. Collaborators can discuss and comment on specific parts of your notebooks, with a powerful cell-level commenting inteface. A flexible comparison dashboard lets you sort, filter, archive and do much more to analyze ML experiments & results. -
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Muse Spark
Meta
Muse Spark is a multimodal AI reasoning model developed by Meta as part of its push toward personal superintelligence. It integrates text, images, and tools to deliver advanced reasoning and interactive capabilities. The model supports features like visual chain-of-thought and multi-agent orchestration. Users can leverage Muse Spark for tasks such as problem-solving, content creation, and real-world troubleshooting. Its Contemplating mode enables multiple AI agents to reason in parallel for improved performance. Muse Spark also demonstrates strong capabilities in areas like health insights and visual understanding. Overall, it represents a significant step toward more intelligent and personalized AI systems. -
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Gemini Enterprise Agent Platform Notebooks provide a unified environment for data science workflows, combining the flexibility of Colab Enterprise with the power of Agent Platform Workbench. These notebooks enable users to explore data, build models, and deploy solutions without switching between multiple tools. With seamless integration into Google Cloud services like BigQuery and Apache Spark, users can analyze large datasets directly within the notebook interface. The platform supports rapid prototyping and model development by offering scalable compute resources and AI-powered coding assistance. It allows teams to move from experimentation to production efficiently using end-to-end workflows. Fully managed infrastructure ensures scalability, cost optimization, and minimal operational overhead. Enterprise-grade security features such as single sign-on and access controls provide a safe environment for development.Starting Price: $10 per GB
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CredSpark
CredSpark
Most organizations aren’t experiencing a shortage of data. What they lack is a reliable way to generate data, insights, and audience engagement that can actually drive business results. Anyone can ask questions. CredSpark helps you ask the right questions while listening for your audience’s responses at scale. Learn how CredSpark is helping organizations move beyond just transactional data to build the data and insights that take their business to the next level. Answer a few questions with CredSpark's Thought Starter and we'll show you opportunities based on your interests, goals, and needs. Interested in learning more? Just let us know at the end and we'll reach out to develop a custom proposal for you. Our clients start with curiosity about their audience. With CredSpark, they’ve built ongoing conversations with individual audience members at scale, driving data, insights, interactions, and transactions. -
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JupyterLab
Jupyter
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala. -
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Yandex Data Proc
Yandex
You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.Starting Price: $0.19 per hour -
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GitHub Spark
GitHub Spark
We can enable anyone to create or adapt software for themselves, using AI and a fully-managed runtime. GitHub Spark is an AI-powered tool for creating and sharing micro apps (“sparks”), which can be tailored to your exact needs and preferences, and are directly usable from your desktop and mobile devices. Without needing to write or deploy any code. It enables this through a combination of three tightly integrated components. An NL-based editor, which allows easily describe your ideas, and then refine them over time. A managed runtime environment, which hosts your sparks, and provides them access to data storage, theming, and LLMs. A PWA-enabled dashboard, which lets you manage and launch your sparks from anywhere. Additionally, GitHub Spark allows you to share your sparks with others, and control whether they get read-only or read-write permissions. They can then choose to favorite the spark, and use it directly, or remix it, in order to further adapt it to their preferences. -
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Spark Voicemail
Spark
Spark Voicemail revolutionises your voicemail experience, making it effortless to retrieve and respond to voicemails. Spark Pay Monthly mobile users can install and use the Spark Voicemail app for free as part of their plan. Spark Prepay users need to activate the ‘Voicemail Unlimited’ extra for $1 per 4 weeks, which offers unlimited App and Voicemail use. So you can boost your responsiveness by also sending voicemails to your assistant or team to respond on your behalf! Don't worry; you can filter out calls from personal contacts. With our built-in automatic transcription service, Spark Voicemail makes your voicemails effortlessly searchable. Spark Voicemail lets you easily record a new one. Change it every season, or if you're away on holiday.Starting Price: Free -
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Deequ
Deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library. -
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GPT‑5.3‑Codex‑Spark
OpenAI
GPT-5.3-Codex-Spark is an ultra-fast coding model designed for real-time collaboration inside Codex. Built as a smaller version of GPT-5.3-Codex, it delivers over 1000 tokens per second when served on low-latency Cerebras hardware. The model is optimized for interactive coding tasks, enabling developers to make targeted edits and see results almost instantly. With a 128k context window, Codex-Spark supports substantial project context while maintaining speed. It focuses on lightweight, precise edits and does not automatically run tests unless prompted. Infrastructure upgrades such as persistent WebSocket connections significantly reduce latency across the full request-response pipeline. Released as a research preview for ChatGPT Pro users, Codex-Spark marks the first milestone in OpenAI’s partnership with Cerebras. -
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Gemini Spark
Google
Gemini Spark is a cloud-based personal AI agent from Google designed to help users automate tasks, manage workflows, and handle digital activities across Google Workspace applications. Powered by Gemini 3.5 and the Antigravity harness, the platform transforms Gemini from a conversational assistant into an active AI partner capable of performing work on a user’s behalf under their direction. Gemini Spark integrates deeply with tools such as Gmail, Docs, Slides, and connected applications to automate recurring tasks, monitor updates, summarize information, and generate organized outputs. The platform can continuously operate in the background even when devices are offline or closed, enabling persistent workflow automation and ongoing task management. Gemini Spark also supports custom triggers, skill training, workflow creation, and future integrations with platforms such as Canva, OpenTable, and Instacart through MCP connections. Designed with user control and security in mind. -
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Autoplot
Autoplot
Autoplot is a native macOS workspace that unifies scientific data import, analysis, plotting, annotation, and publishing without the usual copy-and-paste cycle between chatbots, terminals, and image editors. Users can import local files or SFTP data, define delimiters, headers, and encoding, merge files into one project, and apply assistant-written Python locally for filtering, splicing, or derived variables. Pre-vetted analysis cards cover CCDF, AUC, log-binned distributions, power-law and truncated fits, Xmin diagnostics, finite-size scaling, scaling relations, correlation matrices, and correlation networks, while custom statistics can be generated and run through the built-in Python environment. Results remain reusable, so they can be replotted, refitted, layered, composed, or exported without rebuilding the workflow. Autoplot supports X&Y plots, histograms, heat maps, categorical charts, 3D scatter, surface, and line plots, plus unlimited overlays, fits, and contours.Starting Price: $7.99 per month -
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E-MapReduce
Alibaba
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface. -
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SparkIconAI
SparkIconAI
SparkIconAI is an all-in-one AI icon generator platform designed to help users create, organize, and manage high-quality icons بسهولة. It allows users to generate unique icons by simply describing their ideas using natural language prompts. The platform supports a wide variety of styles, including hand-drawn, 3D, neon, and minimalist designs. Users can organize their generated icons into projects for better management and reuse across different applications. SparkIconAI also provides a curated icon gallery where users can explore and download community-created assets. Built-in tools like background removal and image compression help refine and optimize icons. The platform supports multiple export formats such as PNG, SVG, ICO, and WEBP for flexible use. Overall, SparkIconAI streamlines the entire icon creation workflow from concept to final export in one place.Starting Price: $4.9 -
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Spark ATS
Comspark Innov & Infra Pvt. Ltd.
Spark ATS is a web-based applicant tracking system and recruitment software developed by Comspark Innov & Infra. It helps hiring teams, recruiters, HR departments, staffing agencies, and recruitment teams manage the complete hiring workflow in one platform. Users can create and manage job vacancies, track candidate applications through configurable recruitment pipeline stages, screen resumes, manage candidate information, coordinate interviews, and monitor hiring progress. Spark ATS also supports resume parsing, candidate search and filtering, recruitment reporting, analytics, and data export. Designed for collaborative recruitment workflows, the platform centralizes applicant data, candidate evaluation, and hiring pipeline management in a secure cloud environment. Spark ATS is suitable for organizations looking to simplify recruitment operations and manage their hiring process more efficiently.Starting Price: $5.22/month -
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Spark
Spark RE Technologies
Digital contracts integrated into your CRM and marketing. One log-in for your entire sales and marketing process eliminates the need for multiple platforms. Designed for the real estate industry, Spark helps your team run the entire sales process from inventory management to contract generation. Every developer rates contacts differently, and roles differ from team to team. Customize Spark to your workflow and process without interrupting progress. Whether it's condos, townhomes, master planned communities, single family homes or apartments — Spark provides the platform required to sell, market, close and report on your entire portfolio of new development projects. From first contact, we prioritize your objectives and adapt the platform to your team's needs and regional processes. Our consultative approach starts with establishing an onboarding & training plan your whole team will buy into. -
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SparkResto
Shrivra
Serve all your valued customers with up-to-date with preferences and diner history available on just a click. SparkResto offers real-time sales reports & analytics, allowing restaurants to offer the best possible dining experience to customers. It is packed with numerous amazing features & functionalities. So, when you use it, you will be surprised to know that this simple, but highly useful CRM software can automate most activities of your restaurant business & give some respite to you in your busy life. SparkResto is popular among entrepreneurs for its real-time monitoring feature. If a cashier is billing the table “A”, its details will be shown automatically on other PC. It allows them to serve customers accordingly, avoid mistakes in billing, and manage specific seating arrangements demanded by customers. SparkResto acts as a multipurpose POS system. Just use it to access a real-time detailed report of sales every day, week, and month, know which products are being sold.Starting Price: $49 per month -
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ReSpark
ReSpark
ReSpark is a professional, cloud-based salon and spa software built for modern beauty businesses. Whether you run a hair salon, spa, or beauty clinic, ReSpark helps you simplify daily operations, improve staff efficiency, and boost overall profits. From appointments to payments, marketing to inventory—ReSpark automates it all so you can focus on what matters most: your clients. ReSpark is an all-in-one salon management system that includes POS & Billing, Online Appointments & Dashboard, CRM & Client Profiles, Memberships & Packages, E-Commerce Integration, Inventory Management, Digital Catalog, Campaign Creator & WhatsApp Marketing, Feedback & Loyalty Programs, and Advanced Reports & Analytics. ReSpark salon software supports everything you need—from managing daily tasks to scaling your business online. -
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SparkInfluence
SparkInfluence
SparkInfluence helps the most successful government affairs and public relations teams better educate, engage, and empower their networks to act. SparkInfluence is an all-in-one, mobile-friendly software platform with the most advanced toolset on the market. Build your data-driven effort today and start getting the most out of your audience. SparkInfluence is a simple, easy-to-use software to help you build a better advocacy effort, PAC, or online community. Combining the best of grassroots advocacy tools alongside fundraising, CRM, PAC, grasstops, and more, SparkInfluence has all the functionality you need to track, manage, educate, engage, and empower your audience. Each product in the software platform is powerful on its own, but the real magic happens when you combine them together. SparkPAC is the most advanced PAC software on the market. -
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MLJAR Studio
MLJAR
It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.Starting Price: $20 per month -
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GuideSpark
GuideSpark
GuideSpark is the leader in change communications guiding over 1,000 enterprise customers to business success by changing the hearts and minds of employees. GuideSpark Communicate Cloud® drives organizational change with communication journeys, targeted experiences that reach, engage and change employee behavior to achieve your critical business goals. Manage, measure and scale your internal communications effectiveness with GuideSpark. -
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Available in IBM Watson® Studio and Watson™ Knowledge Catalog, the data refinery tool saves data preparation time by quickly transforming large amounts of raw data into consumable, quality information that’s ready for analytics. Interactively discover, cleanse, and transform your data with over 100 built-in operations. No coding skills are required. Understand the quality and distribution of your data using dozens of built-in charts, graphs, and statistics. Automatically detect data types and business classifications. Access and explore data residing in a wide spectrum of data sources within your organization or the cloud. Automatically enforce policies set by data governance professionals. Schedule data flow executions for repeatable outcomes. Monitor results and receive notifications. Easily scale out via Apache Spark to apply transformation recipes on full data sets. No management of Apache Spark clusters needed.
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Apache Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
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AdSpark
GetAdSpark
GetAdSpark is an all-in-one digital presence and marketing tool designed specifically for small businesses. Our goal is to make online visibility simple and completely stress-free for entrepreneurs. Instead of juggling multiple complex platforms, business owners can manage their core digital channels from a single, intuitive dashboard. GetAdSpark seamlessly integrates with Facebook and Instagram, allowing you to easily schedule and automate your social media posts. Beyond social media, the platform features a powerful email and newsletter management system to keep your audience engaged. Built securely on Google Cloud infrastructure with verified OAuth, it ensures your campaigns are delivered reliably. From automated publishing to seamless newsletters, GetAdSpark takes the technical headache out of digital marketing.Starting Price: $29/month -
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Positron
Posit PBC
Positron is a next-generation, free, open source available integrated development environment for data science, built to support both Python and R in one unified workflow. It enables data professionals to move from exploration to production by offering interactive consoles, notebook support, variables and plot panes, and built-in previews of apps alongside code, all without needing extensive configuration. The IDE includes AI-assisted tools like the Positron Assistant and Databot agent to help write or refine code, perform exploratory analysis, and accelerate development. It offers features like a dedicated Data Explorer for viewing dataframes, a connections pane for databases, a variables pane, a plot pane, and seamless switch between R and Python with full support for notebooks, scripts, and visual dashboards. With version control, extensions support, and deep integration with other tools in the Posit Software ecosystem.Starting Price: Free -
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Spark
RebelWare
Spark is our fully customizable landing page-builder that presents content in a format tailor-made for specific audiences across a broad range of applications — contact forms, sales enablement, welcome, and onboarding. We created Spark to deliver one thing really well: send information to key audiences in a fast, consistent, branded, engaging, and trackable way. Spark places all of your sales engagement materials directly in your sales team’s hands, the lag time in waiting for a response. Spark can help in any situation that requires quick, customizable presentation of documents, including sales, marketing, training, compliance, HR and more. -
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sparkPRO
Quality Early Years
sparkPRO is designed to be efficient and promote the well-being of a team in any setting. sparkPRO is more than a learning journey; the features support your team with the Early Year Foundation Stage and curriculum delivery. A leading EYFS curriculum software package, sparkPRO organizes staff time, systematizes procedures, provides ongoing EYFS assessment with a focus on quality during delivery. It provides incredible financial savings, operationally by cutting down on planning, observation, assessment and recording times. Tangibly you will save on ink and paper costs. sparkPRO not only incorporates the whole of our sparkESSENTIAL package, it also includes additional features and advanced reporting options. Supports whole team to deliver a curriculum and ‘get it right’ for each child, assessment, planning, recording and evaluating personal practice. Support your staff welfare, manage time, increase standards, allow more time to meet individual needs.
