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What is PandaScore?

PandaScore provides in-depth statistics and betting odds for major esports competitions around the globe. We are in the process of building a strong data infrastructure designed to enhance the esports sector through innovative AI solutions and expert insights into gaming. Notable teams, betting companies, fantasy sports websites, and media organizations rely on PandaScore for premium esports data. By collaborating with us, you can play a vital role in redefining the future of esports. The rise of video games is transforming the entertainment industry, and esports is swiftly gaining traction, often eclipsing traditional sports in appeal among younger demographics. In just a short period, esports has evolved in a manner comparable to that of traditional sports over many years. At PandaScore, our goal is to foster the expansion of esports by providing critical data and odds to a range of businesses. We are dedicated to ensuring that our data is not only trustworthy but also exceptionally precise, which allows for the creation of outstanding products in the esports arena. Our clients depend on us for fast and accurate real-time data, which generates significant monthly revenue and bolsters the overall viability of the esports ecosystem. Moreover, our unwavering commitment to quality establishes us as a pivotal contributor to the continuous growth of this vibrant industry, making us an essential partner in the journey ahead.

What is GeoPandas?

GeoPandas is an open-source project driven by the community, aimed at making geospatial data handling easier within the Python programming environment. By building upon the existing data types from pandas, GeoPandas allows for efficient spatial operations on geometric data types. This library employs shapely to perform geometric functions, while relying on fiona for managing files and matplotlib for creating visualizations. The core objective of GeoPandas is to enhance the user experience when working with geospatial data in Python. It merges the capabilities of both pandas and shapely, enabling users to execute geospatial operations effortlessly within the pandas ecosystem and offering a straightforward interface for various geometric functions through shapely. With GeoPandas, tasks that traditionally required a spatial database, such as PostGIS, can be accomplished directly in Python. The initiative is backed by a diverse and global community of contributors with different skill levels, ensuring continuous development and support. Furthermore, the commitment to remaining fully open-source and being available under the flexible BSD-3-Clause license fosters its ongoing accessibility and evolution. Hence, GeoPandas stands out as an invaluable tool for anyone interested in engaging with geospatial data in a practical and user-friendly manner, potentially transforming complex data analysis tasks into more manageable ones.

Media

Media

Integrations Supported

Google Earth Engine
Union Pandera

Integrations Supported

Google Earth Engine
Union Pandera

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PandaScore

Date Founded

2015

Company Location

France

Company Website

pandascore.co

Company Facts

Organization Name

GeoPandas

Date Founded

2013

Company Website

geopandas.org/en/stable/

Categories and Features

Categories and Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

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