Business Software for Python - Page 35
View:
-
1
AWS ParallelCluster
Amazon
AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner. -
2
Cisco UCS Manager
Cisco
Streamline daily operations and simplify the management of Cisco UCS infrastructure. Automate routine tasks and reduce operational expenses. More than 50,000 customers worldwide have realized significant benefits. Cisco UCS Manager works seamlessly with Cisco Intersight, a SaaS systems management platform. It helps you achieve even greater efficiencies. Cisco UCS Manager supports the entire Cisco UCS server. It enables server, fabric, and storage provisioning as well as, device discovery, inventory, configuration, diagnostics, monitoring, fault detection, auditing, and statistics collection. You can extend the benefits of Cisco UCS Manager globally across an enterprise to thousands of servers in multiple domains with Cisco Intersight Infrastructure Service. Our open platform treats infrastructure as code. It extends the functionality of existing management tools through a broad, mature partner ecosystem. -
3
Konfig
Konfig
Konfig is a developer tool that automates the generation of SDKs, documentation, demos, and tutorials for REST APIs, facilitating seamless onboarding for external developers. By importing an OpenAPI Specification or Postman Collection, Konfig automatically produces SDKs in popular programming languages, including TypeScript, Python, Java, C#, PHP, Ruby, Go, Swift, and Dart. The platform ensures high-quality SDKs by identifying and rectifying errors in the OpenAPI Specification through its linter and writing test cases to prevent API updates from breaking existing SDKs. Konfig also generates branded, user-friendly documentation that auto-updates with any changes to the API specification, maintaining consistency between documentation and SDKs. Additionally, it allows for the creation of engaging demos and tutorials using familiar Markdown, enabling users to run code in-browser for hands-on learning. -
4
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
5
Ludwig
Uber AI
Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning. -
6
AutoKeras
AutoKeras
An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras supports several tasks with an extremely simple interface. -
7
Sayari
Sayari Labs, Inc.
Sayari provides the necessary context for confident conclusions, information sharing, and reporting. Analysts and compliance teams empower leaders to make informed decisions that promote a safer trade landscape. Sayari was designed to help these teams quickly understand complex connections that exist between entities for better insights into global commerce and supply chains. Efficiently surface entities linked to designated parties or high-risk jurisdictions using embedded watchlists, trade and maritime data, graph analytics, and geospatial search. Accelerate cross-border investigations into illicit financial activity with comprehensive beneficial ownership information from offshores and hard-target jurisdictions. Instantly identify entities linked to designated parties and supplement networks with new investigative findings while maintaining a court-admissible paper trail. -
8
Oracle FLEXCUBE
Oracle
Transform banking operations across retail, corporate, SME, Islamic banking, microfinance, and specialized financial institutions. Oracle FLEXCUBE helps banks jump-start digital transformation so they can stay relevant, competitive, and compliant in the fast-evolving banking industry. Launch and manage a wide range of tailor-made products and offerings, and scale expansion efficiently. Quickly adapt operations to meet evolving customer needs, business requirements, and regulations. Easily partner and participate in ecosystems to build and extend innovative products and services. Operate efficiently at scale, and leverage deployment and operational flexibility. Easily onboard new customers and offer convenient and personalized product originations. Accelerate credit decisions for lending product originations, and speed up time to decision and approval. Streamline the corporate lending lifecycle, from origination to credit and collateral management, syndication, and more. -
9
HACARUS Check
HACARUS Inc.
HACARUS' AI Core is uniquely differentiated in that it is able to create highly accurate defect detection models from small data sets, trained with only good data, and can be adapted to changing production conditions with simple adjustments. HACARUS Check AI software is a complete inspection software suite, built with the human operator in mind. The intuitive application features a full graphical interface and allows for the creation of powerful AI models with ease. Training a new inspection model requires only a small, good only, data set, and predictions are near instantaneous. Defects detected are highlighted with helpful features such as bounding boxes and heat maps. -
10
Prompt flow
Microsoft
Prompt Flow is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, and evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality. With Prompt Flow, you can create flows that link LLMs, prompts, Python code, and other tools together in an executable workflow. It allows for debugging and iteration of flows, especially tracing interactions with LLMs with ease. You can evaluate your flows, calculate quality and performance metrics with larger datasets, and integrate the testing and evaluation into your CI/CD system to ensure quality. Deployment of flows to the serving platform of your choice or integration into your app’s code base is made easy. Additionally, collaboration with your team is facilitated by leveraging the cloud version of Prompt Flow in Azure AI. -
11
Tumeryk
Tumeryk
Tumeryk Inc. specializes in advanced generative AI security solutions, offering tools like the AI trust score for real-time monitoring, risk management, and compliance. Our platform empowers organizations to secure AI systems, ensuring reliable, trustworthy, and policy-aligned deployments. The AI Trust Score quantifies the risk of using generative AI systems, enabling compliance with regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates and scores the trustworthiness of generated prompt responses, accounting for risks including bias, jailbreak propensity, off-topic responses, toxicity, Personally Identifiable Information (PII) data leakage, and hallucinations. It can be integrated into business processes to help determine whether content should be accepted, flagged, or blocked, thus allowing organizations to mitigate risks associated with AI-generated content. -
12
Oracle NoSQL Database
Oracle
Oracle NoSQL Database is designed to handle high-volume, high-velocity data applications requiring low-latency responses and flexible data models. It supports JSON, table, and key-value data types, and operates both on-premise and as a cloud service. The database scales elastically to meet dynamic workloads and provides distributed data storage across multiple shards, ensuring high availability and rapid failover. It includes Python, Node.js, Java, C, C#, and REST API drivers for easy application development. Additionally, it integrates with Oracle products such as IoT, Golden Gate, and Fusion Middleware. Oracle NoSQL Database Cloud Service is a fully managed service, freeing developers from backend infrastructure management. Oracle NoSQL Database Cloud Service is a fully managed database service for developers who want to focus on application development without dealing with the hassle of managing the back-end hardware and software infrastructure. -
13
Smolagents
Smolagents
Smolagents is an AI agent framework developed to simplify the creation and deployment of intelligent agents with minimal code. It supports code-first agents where agents execute Python code snippets to perform tasks, offering enhanced efficiency compared to traditional JSON-based approaches. Smolagents integrates with large language models like those from Hugging Face, OpenAI, and others, enabling developers to create agents that can control workflows, call functions, and interact with external systems. The framework is designed to be user-friendly, requiring only a few lines of code to define and execute agents. It features secure execution environments, such as sandboxed spaces, for safe code running. Smolagents also promotes collaboration by integrating deeply with the Hugging Face Hub, allowing users to share and import tools. It supports a variety of use cases, from simple tasks to multi-agent workflows, offering flexibility and performance improvements. -
14
Nextdata
Nextdata
Nextdata is a data mesh operating system designed to decentralize data management, enabling organizations to create, share, and manage data products across various data stacks and formats. By encapsulating data, metadata, code, and policies into portable containers, it simplifies the data supply chain, ensuring data is useful, safe, and discoverable. Automated policy enforcement is embedded as code, continuously evaluating and maintaining data quality and compliance. The system integrates seamlessly with existing data infrastructures, allowing configuration and provisioning of data products as needed. It supports processing data from any source in any format, facilitating analytics, machine learning, and generative AI applications. Nextdata automatically generates and synchronizes real-time metadata and semantic models throughout the data product's lifecycle, enhancing discoverability and usability. -
15
Dendrite
Dendrite
Dendrite is a framework-agnostic platform that empowers developers to create web-based tools for AI agents, enabling them to authenticate, interact with, and extract data from any website. By simulating human-like browsing behavior, Dendrite facilitates seamless web navigation and data retrieval for AI applications. The platform offers a Python SDK, providing developers with the necessary tools to build AI agents capable of performing tasks such as interacting with web elements and extracting information. Dendrite's flexibility allows it to integrate with any tech stack, making it a versatile solution for developers aiming to enhance their AI agents' web interaction capabilities. Your Dendrite client syncs with website authentication sessions in your local browser, no need to share or store login credentials. Use our Chrome Extension, Dendrite Vault, to securely share authentication sessions from your browser with the Dendrite client. -
16
Getgud.io
Getgud.io
Getgud.io is a platform that transforms gameplay data into targeted campaigns, boosts player engagement, analyzes in-match behavior, optimizes matchmaking, and ensures fair play, all in one platform. By connecting your game server to their platform with no client-side integration, you gain complete observability of your game and players. The dashboard allows you to create a single pane of glass of everything you care about, query everything from players, matches, and user reports to the insights they found for you, define actions and webhooks on any player cohort, and replay your game's matches to see your players, literally. Getgud autonomously analyzes in-match player behavior and detects toxic ones, including griefers such as campers, spawn killers, and boosters, to cheaters such as aim-botters, wall-hackers, and speed-hackers. You have control over tolerance levels and what actions to take, including automatic bans. -
17
Amira Software
Thermo Fisher Scientific
Thermo Scientific Amira Software is a powerful, universal 2D–5D solution for visualizing, analyzing, and understanding life science and biomedical research data from various imaging modalities, including optical and electron microscopy, CT, MRI, and other techniques. With incredible speed and flexibility, Amira Software supports advanced 2D–5D bioimaging workflows in research areas ranging from structural and cellular biology to tissue imaging, neuroscience, preclinical imaging, and bioengineering. Key features include import and image data processing, visualization and exploration, advanced segmentation, measurement, quantification, and analysis, as well as specialized tools for molecular visualization, object tracking, filament tracing, meshing for finite element analysis, diffusion tensor imaging, 3D registration, and biomaterial deformation analysis. Amira Software also offers customization options and access to ecosystems such as MATLAB, Python, and custom C++. -
18
Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash-Lite is Google DeepMind's lighter AI model, designed to offer a cost-effective solution without compromising performance. As the most economical model in the Gemini 2.0 lineup, Flash-Lite is tailored for developers and businesses seeking efficient AI capabilities at a lower cost. It supports multimodal inputs and features a context window of one million tokens, making it suitable for a variety of applications. Flash-Lite is currently available in public preview, allowing users to explore its potential in enhancing their AI-driven projects. -
19
Gemini 2.0 Pro
Google
Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges. -
20
TROCCO
primeNumber Inc
TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing. -
21
TextBlob
TextBlob
TextBlob is a Python library for processing textual data, offering a simple API to perform common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and classification. It stands on the giant shoulders of NLTK and Pattern, and plays nicely with both. Key features include tokenization (splitting text into words and sentences), word and phrase frequencies, parsing, n-grams, word inflection (pluralization and singularization) lemmatization, spelling correction, and WordNet integration. TextBlob is compatible with Python versions 2.7 and above, and 3.5 and above. It is actively developed on GitHub and is licensed under the MIT License. Comprehensive documentation, including a quick start guide and tutorials, is available to assist users in implementing various NLP tasks. -
22
Artelys Knitro
Artelys
Artelys Knitro is a leading solver for large-scale nonlinear optimization problems, offering a suite of advanced algorithms and features to address complex challenges across various industries. It provides four state-of-the-art algorithms: two interior-point/barrier methods and two active-set/sequential quadratic programming methods, enabling efficient and robust solutions for a wide range of optimization problems. Additionally, Knitro includes three algorithms specifically designed for mixed-integer nonlinear programming, incorporating heuristics, cutting planes, and branching rules to effectively handle discrete variables. Key features of Knitro encompass parallel multi-start capabilities for global optimization, automatic and parallel tuning of option settings, and smart initialization strategies for rapid infeasibility detection. The solver supports various interfaces, including object-oriented APIs for C++, C#, Java, and Python. -
23
Navie AI
AppMap
AppMap Navie is an AI-powered development assistant designed to enhance software development by providing actionable insights and troubleshooting support. It combines static and runtime application analysis to guide developers in understanding and optimizing their codebases more effectively. Navie integrates seamlessly with development environments, offering flexible deployment configurations and support for enterprise-grade security, including options for using GitHub Copilot or custom language models. The platform provides valuable context for AI-driven suggestions, such as HTTP requests, function parameters, and database queries, improving code quality and accelerating problem-solving. Navie is ideal for developers looking to streamline workflows, solve complex coding issues, and enhance overall application performance. -
24
Augoor
Augoor
Augoor transforms static code into dynamic knowledge, enabling teams to navigate, document, and optimize complex systems effortlessly. By extracting structures, relationships, and context, Augoor builds a living knowledge graph that accelerates the development lifecycle. Its AI-driven code navigation tool accelerates new developer productivity, integrating them into projects from day one. Augoor reduces maintenance efforts and enhances code integrity by pinpointing problematic code segments, saving costs, and reinforcing your codebase. It automatically generates clear, updated code explanations, preserving knowledge, especially for complex legacy systems. The AI navigation system cuts down time spent searching through code, allowing developers to focus more on coding, speeding up feature development, and fostering innovation in large codebases. Augoor's advanced AI-driven visualizations uncover hidden patterns, map complex dependencies, and reveal critical relationships. -
25
.NET Aspire
Microsoft
.NET Aspire is a comprehensive platform designed to create and configure cloud-native applications. It includes various tools to streamline the development process, such as starter project templates, integrations, and a dashboard for monitoring and inspecting applications. The platform is built to support Visual Studio, Visual Studio Code, and .NET CLI workflows, providing flexibility for different development environments. To use .NET Aspire, developers need .NET 8.0 or 9.0, an OCI-compliant container runtime (e.g., Docker or Podman), and an IDE such as Visual Studio 2022 or Visual Studio Code. The platform facilitates containerized applications, offering solutions for app hosting, orchestration, and the ability to add integrations directly through Visual Studio. The .NET Aspire dashboard improves local development by providing an overview of the application state, logs, and traces. -
26
Undrstnd
Undrstnd
Undrstnd Developers empowers developers and businesses to build AI-powered applications with just four lines of code. Experience incredibly fast AI inference times, up to 20 times faster than GPT-4 and other leading models. Our cost-effective AI services are designed to be up to 70 times cheaper than traditional providers like OpenAI. Upload your own datasets and train models in under a minute with our easy-to-use data source feature. Choose from a variety of open source Large Language Models (LLMs) to fit your specific needs, all backed by powerful, flexible APIs. Our platform offers a range of integration options to make it easy for developers to incorporate our AI-powered solutions into their applications, including RESTful APIs and SDKs for popular programming languages like Python, Java, and JavaScript. Whether you're building a web application, a mobile app, or an IoT device, our platform provides the tools and resources you need to integrate our AI-powered solutions seamlessly. -
27
Mistral OCR
Mistral AI
Mistral AI's Document Capabilities provide a powerful set of tools for understanding, summarizing, and generating content from complex documents using advanced AI models. Designed for developers and businesses, these capabilities allow users to process large volumes of text efficiently, extracting key information, generating concise summaries, and even drafting new content based on the original document. By leveraging state-of-the-art language models, Mistral enables organizations to automate document-heavy workflows, from legal reviews and contract analysis to research paper summaries and business reports. The API allows seamless integration into existing systems, enabling real-time document processing and analysis. Mistral’s Document capabilities are especially suited for scenarios where quick comprehension of lengthy or technical materials is critical, reducing the time spent on manual reading and review. -
28
ERNIE X1
Baidu
ERNIE X1 is an advanced conversational AI model developed by Baidu as part of their ERNIE (Enhanced Representation through Knowledge Integration) series. Unlike previous versions, ERNIE X1 is designed to be more efficient in understanding and generating human-like responses. It incorporates cutting-edge machine learning techniques to handle complex queries, making it capable of not only processing text but also generating images and engaging in multimodal communication. ERNIE X1 is often used in natural language processing applications such as chatbots, virtual assistants, and enterprise automation, offering significant improvements in accuracy, contextual understanding, and response quality.Starting Price: $0.28 per 1M tokens -
29
Eventarc
Google
Google Cloud's Eventarc is a fully managed platform that enables developers to build event-driven architectures by routing events from various sources to supported destinations. It allows for the collection of events occurring within a system and publishes them to a specified destination, facilitating the creation of loosely coupled services that react to state changes. Eventarc supports events from Google Cloud services, custom applications, and third-party SaaS providers, providing flexibility in event-driven application design. Developers can create triggers to route events to various destinations, such as Cloud Run services, allowing for responsive and scalable application architectures. Eventarc ensures secure event delivery by integrating with Identity and Access Management (IAM), enabling fine-grained access control over event ingestion and processing. -
30
FairCom RTG
FairCom
FairCom RTG modernizes COBOL and Btrieve applications by seamlessly replacing their native file systems with FairCom's advanced database engine, enhancing reliability, scalability, and performance without altering existing code. It enables real-time read/write access to live data through modern APIs, including JSON and SQL, facilitating business analytics and reporting without additional coding. With features like hot backups, automatic recovery, and ACID-compliant transactions, data integrity and uptime are significantly improved. FairCom RTG supports vertical scaling to thousands of users and horizontal scaling through replication for reporting, failover, and availability. The latest version introduces a JSON DB API, allowing simple JSON commands to manage COBOL data, and Hot Alter Table functionality for immediate schema modifications without rewriting records.