Search Results for "data file"
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Showing 8 open source projects for "data file"
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1
AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute... -
2
AWS X-Ray Daemon
The AWS X-Ray daemon listens for traffic on UDP port 2000
The AWS X-Ray daemon listens for traffic on UDP port 2000, gathers raw segment data, and relays it to the AWS X-Ray API. The daemon works in conjunction with the AWS X-Ray SDKs and must be running so that data sent by the SDKs can reach the X-Ray service. The X-Ray SDK sends segment documents to the daemon to avoid making calls to AWS directly. You can send the segment/subsegment in JSON over UDP port 2000 to the X-Ray daemon, prepended by the daemon header. On AWS Lambda and AWS Elastic... -
3
Chartbrew
Open-source web platform used to create live reporting dashboards
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create beautiful charts. It features a chart builder, editable dashboards, embeddable charts, query & requests editor, and team capabilities. It is recommended you head over to the more detailed documentation to find out how to set up Chartbrew. The CLI tool creates a chartbrew/.env file which you can configure at any time if you want to change the database, API & client host, etc. ... -
4
formidable
The most used, flexible, fast and streaming parser
The most used, flexible, fast and streaming parser for multipart form data. Supports uploading to serverless environments, AWS S3, Azure, GCP or the filesystem. Used in production. This project is semantically versioned and available as part of the Tidelift Subscription for professional-grade assurances, enhanced support and security. The maintainers of formidable and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the Open Source... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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5
aws-nuke
Nuke a whole AWS account and delete all its resources
...With AWS-nuke it is very easy to clean up these accounts at the end of the day and keep the costs low. There are two ways to authenticate aws-nuke. There are static credentials and profiles. The later one can be configured in the shared credentials file. -
6
AWS IoT Greengrass Core SDK
SDK to use with functions running on Greengrass Core using Python
The AWS IoT Greengrass Core SDK is meant to be used by AWS Lambda functions running on an AWS IoT Greengrass Core. It will enable Lambda functions to invoke other Lambda functions deployed to the Greengrass Core, publish messages to the Greengrass Core and work with the local Shadow service. To use the AWS IoT Greengrass Core SDK, you must first import the AWS IoT Greengrass Core SDK in your Lambda function as you would with any other external libraries. You then need to create a client for... -
7
AWS Greengrass Core SDK for JavaScript
Greengrass Nodejs SDK
The AWS Greengrass Core SDK for JavaScript allows developers to write JavaScript Lambda functions that will run within Greengrass. This document provides instructions for preparing your Greengrass Core environment to run Lambda functions written in JavaScript. It also includes examples on how to develop a Lambda function in JavaScript as well as packaging and running an example Hello World file in JavaScript for your Greengrass core. The environment where Greengrass is running on needs to be... -
8
Ice AWS
AWS Usage Tool
...Ice allows us to quantify our AWS footprint and to make educated decisions regarding reservation purchases and reallocation of resources. Ice is a Grails project. It consists of three parts: processor, reader, and UI. The processor processes the Amazon detailed billing file into data readable by the reader. The reader reads data generated by the processor and renders them to UI. UI queries the reader and renders interactive graphs and tables in the browser.
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