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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Swift. Elegant. Innovative. A contemporary high-performance Russian platform designed to address the challenges of describing, visualizing, managing, and analyzing processes along with their respective elements. Drawing upon extensive expertise in IT and telecommunications, this platform integrates the finest concepts from established OSS/BSS/NGOSS (Frameworx) frameworks while employing cutting-edge HTML/AJAX, SQL/noSQL, and TimeSeries technologies. It seamlessly interacts with diverse systems, such as the Internet of Things, and boasts robust business intelligence features. This software, developed in Russia, stands at a global standard. Effective visualization of the IT landscape is crucial for the seamless functioning of any organization. Additionally, maintaining oversight of critical technical metrics ensures consistent performance. Continuous monitoring of the availability of communication channels, equipment, computers, servers, and their components is essential for operational reliability. Overall, this platform lays the foundation for informed decision-making and efficient resource management.

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
Amazon SageMaker Data Wrangler
Avanzai
Codédex
Coiled
Daft
DagsHub
Dagster
Flyte
LanceDB
Netdata
OrcaSheets
RunCode
Sliq
ThinkData Works
Train in Data
Union Pandera
Yandex Data Proc
skills.ai

Integrations

3LC
Amazon SageMaker Data Wrangler
Avanzai
Codédex
Coiled
Daft
DagsHub
Dagster
Flyte
LanceDB
Netdata
OrcaSheets
RunCode
Sliq
ThinkData Works
Train in Data
Union Pandera
Yandex Data Proc
skills.ai

Pricing Details

$1000 one-time payment
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

SAYMON

Founded

2013

Country

Russian Federation

Website

saymon.info

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

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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