About
Git Cola is a sleek and powerful graphical user interface for Git. Git Cola is free software and written in Python (v2 + v3). The editor used by Ctrl-e is configured from the Preferences screen. The environment variable $VISUAL is consulted when no editor has been configured. Configuring your editor to gvim -f -p will open multiple tabs when editing files. gvim -f -o uses splits. When you select a line in the grep screen and press any of Enter, Ctrl-e, or the Edit button, you are taken to that exact line. Git Cola has many useful keyboard shortcuts. Many of Git Cola’s editors understand vim-style hotkeys, eg. {h,j,k,l} for navigating in the diff, status, grep, and file browser widgets. The Git Cola interface is composed of various cooperating tools. Double-clicking a tool opens it in its own subwindow. Dragging it around moves and places it within the main window. Tools can be hidden and rearranged however you like. Git Cola carefully remembers your window layout and restores it.
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About
IDLE is Python’s Integrated Development and Learning Environment.
IDLE has the following features:
- coded in 100% pure Python, using the tkinter GUI toolkit
- cross-platform: works mostly the same on Windows, Unix, and macOS
- Python shell window (interactive interpreter) with colorizing of code input, output, and error messages
- multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features
- search within any window, replace within editor windows, and search through multiple files (grep)
- debugger with persistent breakpoints, stepping, and viewing of global and local namespaces
- configuration, browsers, and other dialogs
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About
Deliver the product experience today's consumers demand with Salsify, a top-rated product experience management (PXM) platform trusted by leading brands. Salsify brings together the power of product content management, a broad commerce ecosystem, and actionable insights into a single solution. Thus, empowering brands to provide exceptional shopping experiences to customers across every touchpoint. The world's leading brand manufacturers, such as Coca Cola, Bosch, and gsk, rely on Salsify for their product experience management needs.
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About
dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow.
Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers wanting to manage version control operations and commits with a graphical user interface
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Audience
Python developers
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Audience
Businesses of all sizes in the CPG, health and beauty, home goods, medical supplies, industrial supplies, toys, hobbies and crafts, retail, and baby categories.
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Audience
SQL users looking for a ETL solution to engineer data transformations
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$100 per user/ month
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGit Cola
git-cola.github.io
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Company InformationPython
Founded: 1990
docs.python.org/3/library/idle.html
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Company InformationSalsify
Founded: 2012
United States
www.salsify.com
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Company Informationdbt Labs
Founded: 2016
United States
www.getdbt.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categoriesdbt powers the transformation layer of modern data pipelines. Once data has been ingested into a warehouse or lakehouse, dbt enables teams to clean, model, and document it so it’s ready for analytics and AI. With dbt, teams can: - Transform raw data at scale with SQL and Jinja. - Orchestrate pipelines with built-in dependency management and scheduling. - Ensure trust with automated testing and continuous integration. - Visualize lineage across models and columns for faster impact analysis. By embedding software engineering practices into pipeline development, dbt helps data teams build reliable, production-grade pipelines to accelerate time to insight, and deliver AI-ready data. dbt brings rigor and scalability to data preparation by enabling teams to clean, transform, and structure raw data directly in the warehouse. Instead of siloed spreadsheets or manual workflows, dbt uses SQL and software engineering best practices to make data preparation reliable, repeatable, and collaborative. With dbt, teams can: - Clean and standardize data with reusable, version-controlled models. - Apply business logic consistently across all datasets. - Validate outputs through automated tests before data is exposed to analysts. - Document and share context so every prepared dataset comes with lineage and definitions. By treating data preparation as code, dbt ensures that prepared datasets aren’t just quick fixes — they’re trusted, governed, and production-ready assets that scale with the business. dbt modernizes the “T” in ETL: Transformation. Instead of relying on legacy pipelines or black-box transformations, dbt empowers data teams to build, test, and document transformations directly inside the data warehouse or lakehouse. With dbt, teams can: - Transform raw data into analytics-ready models using SQL and Jinja. - Ensure reliability with built-in testing, version control, and CI/CD. - Standardize workflows across teams with reusable models and shared documentation. - Leverage modern platforms like Snowflake, Databricks, BigQuery, and Redshift for scalable transformation. By focusing on the transformation layer, dbt helps organizations shorten pipeline development cycles, reduce data debt, and deliver trusted insights faster — complementing ingestion and loading tools in a modern ELT stack. |
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Catalog Management Features
Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search
Channel Management Features
Campaign Management
Channel Analytics
Incentive Management
Inventory Control
Lead Management
Opportunity Management
Order Management
Partner Management
Product Management
Reseller Management
Digital Asset Management Features
Asset Categorization
Asset Library
Asset Sharing
Brand Control
Customizable Branding
File Conversion
Metadata Management
Mobile App
Reporting/Analytics
Search Within Document
Search/Filter
Version Control
Watermarking
Workflow Management
PIM Features
Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control
Product Data Management Features
Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control
Product Management Features
Collaboration
Feedback Collection
Idea Management
Milestone Tracking
Prioritization
Product Roadmapping
Release Management
Requirements Management
Resource Management
Workflow Management
eCommerce Features
Catalog Management
Channel Management
CRM
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Lineage Features
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Preparation Features
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
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Integrations
Acryl Data
Azure Marketplace
Bynder
Clear Spider
Collate
Datakin
Flyte
GetDot.ai
Hex
Orange Logic OrangeDAM
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Integrations
Acryl Data
Azure Marketplace
Bynder
Clear Spider
Collate
Datakin
Flyte
GetDot.ai
Hex
Orange Logic OrangeDAM
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Integrations
Acryl Data
Azure Marketplace
Bynder
Clear Spider
Collate
Datakin
Flyte
GetDot.ai
Hex
Orange Logic OrangeDAM
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Integrations
Acryl Data
Azure Marketplace
Bynder
Clear Spider
Collate
Datakin
Flyte
GetDot.ai
Hex
Orange Logic OrangeDAM
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