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Description
PySpark serves as the Python interface for Apache Spark, enabling the development of Spark applications through Python APIs and offering an interactive shell for data analysis in a distributed setting. In addition to facilitating Python-based development, PySpark encompasses a wide range of Spark functionalities, including Spark SQL, DataFrame support, Streaming capabilities, MLlib for machine learning, and the core features of Spark itself. Spark SQL, a dedicated module within Spark, specializes in structured data processing and introduces a programming abstraction known as DataFrame, functioning also as a distributed SQL query engine. Leveraging the capabilities of Spark, the streaming component allows for the execution of advanced interactive and analytical applications that can process both real-time and historical data, while maintaining the inherent advantages of Spark, such as user-friendliness and robust fault tolerance. Furthermore, PySpark's integration with these features empowers users to handle complex data operations efficiently across various datasets.
Description
Introducing an innovative reactive notebook designed for Python, which allows you to conduct repeatable experiments, run scripts seamlessly, launch applications, and manage versions using git.
🚀 Comprehensive: it serves as a substitute for jupyter, streamlit, jupytext, ipywidgets, papermill, and additional tools.
⚡️ Dynamic: when you execute a cell, marimo automatically runs all related cells or flags them as outdated.
🖐️ Engaging: easily connect sliders, tables, and plots to your Python code without the need for callbacks.
🔬 Reliable: ensures no hidden states, guarantees deterministic execution, and includes built-in package management for consistency.
🏃 Functional: capable of being executed as a Python script, allowing for customization via CLI arguments.
🛜 Accessible: can be transformed into an interactive web application or presentation, and functions in the browser using WASM.
🛢️ Tailored for data: efficiently query dataframes and databases using SQL, plus filter and search through dataframes effortlessly.
🐍 git-compatible: stores notebooks as .py files, making version control straightforward.
⌨️ A contemporary editor: features include GitHub Copilot, AI helpers, vim keybindings, a variable explorer, and an array of other enhancements to streamline your workflow.
With these capabilities, this notebook elevates the way you work with Python, promoting a more efficient and collaborative coding environment.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
Amazon SageMaker Data Wrangler
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Python
Tecton
Union Pandera
Integrations
Amazon SageMaker Data Wrangler
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Python
Tecton
Union Pandera
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PySpark
Website
spark.apache.org/docs/latest/api/python/
Vendor Details
Company Name
marimo
Founded
2022
Country
United States
Website
marimo.io
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development