Search Results for "sdk"

...This SDK provides Pydantic models for UCP schemas, making it easy for Python developers to construct, validate, and serialize protocol messages and data structures according to the UCP specification. By adhering to the official protocol standards, applications built on this SDK can participate in tasks like capability discovery, checkout flows, order management, and more, while remaining interoperable across different UCP implementations and surfaces.

aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. ...

...The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker.

...Credential management securely stores login information once for reuse, and the system integrates with existing stacks like LLMs, N8N, or custom scripts to inject real app execution into broader automation pipelines. Developers get SDK examples (including Python integrations with Gemini or Ollama) for embedding Droidrun into their tooling.

LinkdAPI Python is a software development kit designed to simplify integration with the LinkdAPI platform, enabling developers to connect applications with external services through a unified API layer. It provides structured tools, libraries, and documentation that streamline authentication, request handling, and data exchange between systems. The SDK is built to reduce the complexity of working with multiple APIs by offering standardized methods for interacting with different endpoints. It supports rapid development by abstracting low-level implementation details, allowing developers to focus on building features rather than managing connectivity. The project is designed with scalability in mind, making it suitable for both small applications and larger systems that require reliable API orchestration. ...

Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich...

...Familiar Eclipse based Jython and Python Development IDE, pre-configured and ready to go. 4-Click Installer. Win x64, Linux WINE x64. Built-In JVM. Java 8/9/10, Amazon Corretto, JETPack13/14/16, IBM SDK Compatible. *** Now with powerful JBoss / GlassFish / Tomcat / Linux Active Auditing Framework. Tomcat / Glassfish 2 Python - Configuration Snapshots *** Infrastructure-as-Code, Code-Writing-Code Designed to Run on JETPack: https://sourceforge.net/projects/jetpack Muse.2026.03.x - Win 10 / Win11 / Linux (WINE) Muse.2025.12.x - Win8 / Win 10 / Win11 / Linux (WINE)

...The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance.

The MeVisLab Community project provides add-on modules that extend the functionality of the MeVisLab software. The modules are provided and maintained by the MeVisLab developer community and can be compiled with the public MeVisLab SDK.

With PyPayflowPro, you can use the Verisign Payflow Pro SDK directly in Python. This allows you to process credit card transactions (and other financial transactions) using Verisign Payment Services (http://www.verisign.com/products/payflow/pro/).

Android[tm] SDK development is for those who have a dream mobile device in mind and have the potential to contribute to the development of the same at various levels. http://www.openhandsetalliance.com is promoted by Google & other industry giants.