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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Orderly provides a robust SDK that allows builders to integrate seamlessly while offering unified liquidity and exceptional performance for traders. Security is effortlessly maintained as users leverage Orderly’s trading infrastructure, which has received endorsements from prestigious auditing firms. The platform's deep liquidity is fueled by leading market makers, ensuring consistent spreads, substantial depth, and reliable uptime for its users. It fosters a community-driven ecosystem that thrives on permissionless innovation and complete transparency. With an omnichain order book, it facilitates unified liquidity across various blockchains, eliminating the need for bridges. This efficient setup can significantly shorten go-to-market timelines to just a few days, allowing teams to reclaim valuable time and focus on resolving more significant challenges. Furthermore, Orderly supports an extensive ecosystem that encompasses CEXs, DEXs, aggregators, wallets, and more, all functioning on its permissionless liquidity layer. Users can take advantage of our advanced trading infrastructure and rich liquidity offerings. By utilizing Orderly Network, developers have the flexibility to create independent UI components and custom pages tailored to their needs, enhancing their overall project experience.

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

Screenshots View All

Screenshots View All

Integrations

3LC
Arbitrum
Bitcoin
Chainlink
Codédex
Dagster
Elixir
Ethereum
Flower
GLM-5.1
GLM-5.2
Giskard
Injective
Jupiter
Netdata
Optimism
Polygon
Sui
Superbridge
WalletConnect

Integrations

3LC
Arbitrum
Bitcoin
Chainlink
Codédex
Dagster
Elixir
Ethereum
Flower
GLM-5.1
GLM-5.2
Giskard
Injective
Jupiter
Netdata
Optimism
Polygon
Sui
Superbridge
WalletConnect

Pricing Details

No price information available.
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

Orderly Network

Website

orderly.network/

Vendor Details

Company Name

pandas

Founded

2008

Website

pandas.pydata.org

Product Features

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Alternatives

Alternatives

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