Average Ratings 1 Rating
Average Ratings 1 Rating
Description
The world's only free modern embeddable data and analytics platform that provides a self-service, powerful, secure & seamless end-to-end experience. DataClarity Unlimited Analytics Benefits: SIMPLIFIED DATA INTEGRATION – Easily connect, join, curate, cache & catalog diverse data through drag and drop, custom SQL builder and AI-powered data profiling. | INTERACTIVE REPORTS & DASHBOARDS – craft compelling storyboards using 80 stunning visualizations, geospatial maps & flexibility to bring your own charts. | REAL-TIME ANALYSIS – Perform advanced analysis & data exploration using drill-down, drill-through, filters, built-in statistical & predictive models, or your own Python and R code. | SMOOTH APPLICATION INTEGRATION – Achieve seamless integration with robust APIs, tailor-made configurations and flexible embedding features. | SECURITY and GOVERNANCE – Comply with your security guidelines, governance standards, multitenancy, row-level data protection, and SSO (Single Sign-On).
DataClarity Unlimited Analytics is tailored for ISVs , SaaS providers, consultancies, and IT teams and includes: free forever software license, free version updates & access to support resources, and optional paid 24/7 production support with SLA.
Description
Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.
API Access
Has API
API Access
Has API
Integrations
Activeeon ProActive
Amazon
Amazon Aurora
Amazon RDS
Amazon Redshift
Azure SQL Database
Elastic
Google Kubernetes Engine (GKE)
IBM Db2
Kibana
Integrations
Activeeon ProActive
Amazon
Amazon Aurora
Amazon RDS
Amazon Redshift
Azure SQL Database
Elastic
Google Kubernetes Engine (GKE)
IBM Db2
Kibana
Pricing Details
FREE
Free Trial
Free Version
Pricing Details
No price information available.
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
DataClarity
Founded
2002
Country
United States
Website
dataclaritycorp.com
Vendor Details
Company Name
pandas
Founded
2008
Website
pandas.pydata.org
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Embedded Analytics
Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics