Business Software for Python - Page 44
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Top Software that integrates with Python as of September 2026 - Page 44
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1
Rainforest
Rainforest
Achieve higher cyber security protection with the Rainforest platform. Trust Rainforest to safeguard your innovations and provide you with the confidence to navigate the digital world securely, with quick implementation, and faster results. Traditional solutions are too complex to implement for companies that don't waste time and money. Frictionless integration, so you can use your time more fixing than implementing our solutions. Our trained models use AI to suggest fixes, empowering your team to resolve issues easily. 7 different application analyses with comprehensive application security, local code analysis, and AI-driven fix suggestions, ensure seamless integration, rapid vulnerability detection, and effective remediation for robust application protection. Continuous cloud security posture management, identifying misconfigurations and vulnerabilities in real-time enhancing cloud security effortlessly. -
2
Decentriq
Decentriq
Privacy-minded organizations work with Decentriq. With the latest advancements in encryption and privacy-enhancing technologies such as synthetic data, differential privacy, and confidential computing, your data stays under your control at all times. End-to-end encryption keeps your data private to all other parties. Decentriq cannot see or access your data. Remote attestation gives you verification that your data is encrypted and only approved analyses are running. Built-in partnership with market-leading hardware and infrastructure providers. Designed to handle even advanced AI and machine learning models, the platform keeps your data inaccessible no matter the challenge. With processing speeds approaching typical cloud levels, you don’t have to sacrifice scalability for excellent data protection. Our growing network of data connectors supports more streamlined workflows across leading data platforms. -
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Omnisient
Omnisient
We help businesses unlock the power of 1st party data collaboration without the risks. Transform your consumer data from a liability to a revenue-generating asset. Thrive in the post-cookie world with 1st party consumer data. Collaborate with more partners to unlock more value for your customers. Grow financial inclusion and increase revenue through innovative alternative data partners. Enhance underwriting accuracy and maximize profitability with alternative data sources. Each participating party uses our desktop application to anonymize, tokenize, and protect all personally identifiable information in their consumer data set within their own local environment. The process generates US-patented crypto-IDs for each anonymized consumer profile locally to enable the matching of mutual consumers across multiple data sets in our secure and neutral Cloud environment. We’re leading the next generation of consumer data. -
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Actian Ingres
Actian
Ultra-reliable SQL-standard transactional database with X100 operational analytics. Actian Ingres has long been known as an ultra-reliable enterprise transactional database. Today Actian Ingres is a hybrid transactional/analytical processing database with record-breaking performance. Ingres supports both row-based and columnar storage formats using its ultra-reliable enterprise transactional database, and Vector’s X100 analytics engine. This combination allows organizations to perform transaction processing and operational analytics easily and efficiently within a single database. The most trusted and time-tested transactional database with a low total cost of ownership, 24/7 global support, and industry-leading customer satisfaction. It has a proven track record, with thousands of enterprises running billions of transactions over decades of deployment, upgrades, and migrations. -
5
Algoreus
Turium AI
All your data needs are delivered in one powerful platform. From data ingestion/integration, transformation, and storage to knowledge catalog, graph networks, data analytics, governance, monitoring, and, sharing. An AI/ML platform that lets enterprises, train, test, troubleshoot, deploy, and govern models at scale to boost productivity while maintaining model performance in production with confidence. A dedicated solution for training models with minimal effort through AutoML or training your case-specific models from scratch with CustomML. Giving you the power to connect essential logic from ML with data. An integrated exploration of possible actions. Integration with your protocols and authorization models. Propagation by default; extreme configurability at your service. Leverage internal lineage system, for alerting and impact analysis. Interwoven with the security paradigm; provides immutable tracking. -
6
Simba
insightsoftware
Common dashboards, reporting, and ETL tools often lack connectivity to certain data sources, creating integration challenges for users. Simba offers ready-to-use, standards-based drivers that ensure compatibility, simplifying the connectivity process. Companies that provide data to customers struggle to offer headache-free, easy data connectivity to their users. Simba’s SDK allows developers to build custom, standards-based drivers, making connectivity more friendly than CSV export or API-based access. Unique backend requirements, such as specific implementation needs dictated by specific applications or internal processes, can complicate connectivity. Using Simba’s SDK or managed services enables the creation of drivers tailored to meet these requirements. Simba provides comprehensive ODBC/JDBC extensibility for a wide range of applications and data tools. Simba Drivers plug into these tools to enhance their offerings, enabling additional connectivity to data sources. -
7
Gable
Gable.ai
Data contracts facilitate communication between data teams and developers. Don’t just detect problematic changes, prevent them at the application level. Detect every change, from every data source using AI-based asset registration. Drive the adoption of data initiatives with upstream visibility and impact analysis. Shift left both data ownership and management through data governance as code and data contracts. Build data trust through the timely communication of data quality expectations and changes. Eliminate data issues at the source by seamlessly integrating our AI-driven technology. Everything you need to make your data initiative a success. Gable is a B2B data infrastructure SaaS that provides a collaboration platform to author and enforce data contracts. ‘Data contracts’, refer to API-based agreements between the software engineers who own upstream data sources and data engineers/analysts that consume data to build machine learning models and analytics. -
8
Invert
Invert
Invert offers a complete suite for collecting, cleaning, and contextualizing data, ensuring every analysis and insight is based on reliable, organized data. Invert collects and standardizes all your bioprocess data, with powerful, built-in products for analysis, machine learning, and modeling. Clean, standardized data is just the beginning. Explore our suite of data management, analysis, and modeling tools. Replace manual workflows in spreadsheets or statistical software. Calculate anything using powerful statistical features. Automatically generate reports based on recent runs. Add interactive plots, calculations, and comments and share with internal or external collaborators. Streamline planning, coordination, and execution of experiments. Easily find the data you need, and deep dive into any analysis you'd like. From integration to analysis to modeling, find all the tools you need to manage and make sense of your data. -
9
Literal AI
Literal AI
Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications. -
10
PromptQL
Hasura
PromptQL is an enterprise-grade AI platform that builds reasoning models with near-perfect accuracy, tailored to each organization’s unique context. Unlike generic AI tools, PromptQL learns your business rules, tacit knowledge, and internal language to act like a trusted analyst or engineer. It empowers companies to deploy specialized AI that not only delivers correct answers but also signals confidence levels and learns continuously from feedback. Within 14 days, enterprises can go from setup to real-world rollout, unlocking measurable results faster than traditional AI deployments. Used by Fortune 100 companies and global enterprises, PromptQL consistently outperforms warehouse-native AI solutions in accuracy and reliability. Designed for adoption, not obsolescence, PromptQL enables organizations to build AI that truly understands their business. -
11
DataHawk
DataHawk
DataHawk gathers all your marketplace data in a single platform, transforming it into clear actionable insights so you can maximize profitability and revenue across all channels. With its end-to-end approach, integrated AI, and intuitive dashboards, ecommerce analytics just got a whole lot more powerful and easier. Work with the most comprehensive marketplace data possible, in one single place. With access to enriched and historical data, you can better track trends, avoid threats, and seize opportunities. Customize and extend your platform flexibly to address specific business issues or emerging use cases. You can use your preferred data and analytics tools too. DataHawk is serviced and supported by ecommerce and data experts. We’ve been there, so we understand the specific challenges you face. DataHawk uses machine learning and AI to monitor data, guide decision-making, diagnose and prioritize the actions to take, and even help automate them. -
12
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. -
13
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. -
14
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. -
15
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. -
16
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. -
17
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. -
18
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. -
19
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. -
20
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. -
21
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. -
22
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. -
23
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. -
24
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. -
25
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. -
26
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. -
27
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. -
28
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++. -
29
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. -
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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.
