Business Software for Python - Page 43
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Top Software that integrates with Python as of November 2026 - Page 43
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1
Cirrascale
Cirrascale
Our high-throughput storage systems can serve millions of small, random files to GPU-based training servers accelerating overall training times. We offer high-bandwidth, low-latency networks for connecting distributed training servers as well as transporting data between storage and servers. Other cloud providers squeeze you with extra fees and charges to get your data out of their storage clouds, and those can add up fast. We consider ourselves an extension of your team. We work with you to set up scheduling services, help with best practices, and provide superior support. Workflows can vary from company to company. Cirrascale works to ensure you get the right solution for your needs to get you the best results. Cirrascale is the only provider that works with you to tailor your cloud instances to increase performance, remove bottlenecks, and optimize your workflow. Cloud-based solutions to accelerate your training, simulation, and re-simulation time.Starting Price: $2.49 per hour -
2
SysSCRIPT
Systech
SysSCRIPT™ is a beginner-friendly scripting solution that anyone can use for machine-to-machine applications or the Internet of Things. In a traditional M2M solution, custom software is created to execute on an embedded Linux operating system located on the gateway. This custom software may be created in Python, C, JavaScript, or any other programming language supported by Linux. This is a good solution, but requires significant development time, and must be created by experienced software engineers. With SysSCRIPT, the software development process is streamlined. Instead of months of expensive development time, this is reduced to just a few minutes – and can be done by non-engineering resources. The world of the Internet of Things becomes much simpler and more practical when integrators, VARS, and even end users are able to create applications to meet just about any need. -
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Yamak.ai
Yamak.ai
Train and deploy GPT models for any use case with the first no-code AI platform for businesses. Our prompt experts are here to help you. If you're looking to fine-tune open source models with your own data, our cost-effective tools are specifically designed for the same. Securely deploy your own open source model across multiple clouds without the need to rely on third-party vendors for your valuable data. Our team of experts will deliver the perfect app tailored to your specific requirements. Our tool enables you to effortlessly monitor your usage and reduce costs. Partner with us and let our expert team address your pain points effectively. Efficiently classify your customer calls and automate your company’s customer service with ease. Our advanced solution empowers you to streamline customer interactions and enhance service delivery. Build a robust system that detects fraud and anomalies in your data based on previously flagged data points. -
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Wasmer
Wasmer
Create apps that run everywhere, publish, share with the community, and deploy to the edge, globally. Serve sandboxed WebAssembly apps anywhere through a single runtime and do in days what others do in months. Using a binary for each platform and chip is the past. Rise above with lightweight containerized apps that simply run everywhere. Supports almost every programming language. Truly universal, runs everywhere & fast as native. Packages are limited by their languages no more. Collaborate across stacks, leverage the ecosystem, and contribute your own packages. Get the scalability of serverless and the reusability of the cloud. Deploy to the edge, save your users time and yourself money. Faster, affordable & indefinitely scalable. All languages are fully containerized & collaborative. Plug your own backend, compiler, or runner. Run apps at close to native speed and outperform the competition. -
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Kestra
Kestra
Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways. -
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Kolena
Kolena
Kolena AI is an enterprise automation platform designed for real estate, financial services, and insurance brands. It streamlines workflows by converting complex documents into structured, actionable outputs in minutes. Prebuilt AI agents handle tasks like lease abstractions, investment memos, rent roll spreadsheets, and compliance checklists, reducing manual effort and increasing accuracy. The platform also supports custom agents, allowing businesses to tailor automation to their unique workflows. With precision extraction, compliance validation, and integration into systems like Salesforce, Kolena AI enhances efficiency and consistency. Trusted by leading companies, it helps teams scale smarter by replacing manual reviews and legacy OCR with AI-powered automation. -
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Ntropy
Ntropy
Ship faster integrating with our Python SDK or Rest API in minutes. No prior setups or data formatting. You can get going straight away as soon as you have incoming data and your first customers. We have built and fine-tuned custom language models to recognize entities, automatically crawl the web in real-time and pick the best match, as well as assign labels with superhuman accuracy in a fraction of the time. Everybody has a data enrichment model that is trying to be good at one thing, US or Europe, business or consumer. These models are poor at generalizing and are not capable of human-level output. With us, you can leverage the power of the world's largest and most performant models embedded in your products, at a fraction of cost and time. -
8
Surmount AI
Surmount AI
Easily link all of your equities, crypto, and forex investment accounts in one place to view, manage, and automate. Easily find & evaluate pre-built investment strategies with genuine track records. We handle all the hard parts and let you focus on building, testing, & monetizing your ideas. Test your strategy across any timeframe, prebuilt, or custom scenario to see how it would have performed and view powerful insights & areas for optimization. Rebalancing & tax loss harvesting are handled for you in the background. -
9
ZapHire
ZapHire
Find the perfect fit for your team faster with our AI-powered recruitment tool. Our algorithms rank, categorize, and curate candidates based on their skills, experience, and expertise, saving you time and money. ZapHire's AI conducts comprehensive background checks on candidates, using data from top channels like Github, Stackoverflow, Twitter, LinkedIn, and ProductHunt. With over 40 million indexed accounts and specialized algorithms, we provide accurate scores and ranks to help you confidently choose the best candidate for the job. Our candidate sourcing services leverage advanced AI technology to help you identify and attract top talent faster and more efficiently than ever before. Access to 40+ million candidate profiles to find the right fit for your job openings. AI algorithms quickly identify and filter candidates, helping you fill positions faster. Regularly updated insights so you can quickly identify the best candidates. -
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Total Processing
Total Processing
Our expert team will help you avoid complex and unnecessary issues when taking payments. We make processing payments as seamless and secure as possible. Let your customers make payments online when and how they want with a seamless integration of payment methods. Make card payments even easier with our smart checkout solutions. Reduce cart abandonment and increase authorization rates. Manage your merchant account and online business with one seamless, flexible, integrated software. Accept payments on a huge range of ecommerce platforms, in-app services, payment plug-ins, shopping carts and custom solutions to enhance your payment pages. -
11
Google Cirq
Google
Cirq is a Python software library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum computers, where details of the hardware are vital to achieving state-of-the-art results. Cirq comes with built-in simulators, both for wave functions and for density matrices. These can handle noisy quantum channels using monte carlo or full density matrix simulations. In addition, Cirq works with a state-of-the-art wavefunction simulator: qsim. These simulators can be used to mock quantum hardware with the quantum virtual machine. Cirq is used to run experiments on Google's quantum processors. Learn more about the latest experiments and access the code to se how to run them yourself. -
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Qiskit
IBM
Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor. Users can transpile with Qiskit's default optimization, use a custom configuration or develop their own plugin. Qiskit helps users schedule and run quantum programs on a variety of local simulators and cloud-based quantum processors. It supports several quantum hardware designs, such as superconducting qubits and trapped ions. Ready to explore Qiskit’s capabilities for yourself? Learn how to run Qiskit in the cloud or your local Python environment. -
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Prolog
Prolog
Prolog is a logic programming language associated with artificial intelligence and computational linguistics. Prolog has its roots in first-order logic, a formal logic, and unlike many other programming languages, Prolog is intended primarily as a declarative programming language, the program logic is expressed in terms of relations, represented as facts and rules. A computation is initiated by running a query over these relations. Prolog was one of the first logic programming languages and remains the most popular such language today, with several free and commercial implementations available. The language has been used for theorem proving, expert systems, term rewriting, type systems, and automated planning, as well as its original intended field of use, natural language processing. Modern Prolog environments support the creation of graphical user interfaces, as well as administrative and networked applications. -
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OneEntry
OneEntry
Ready-made solutions and tools for implementing any E-commerce project. Easy project scaling without unnecessary time and financial costs. One system incorporates all necessary tools used by developers, content managers and marketing experts. Familiar interfaces without limitations in technologies and programming languages. Easy connection of applications or websites through REST API. Easy export of products and services from YML or CSV files. Issuance of let's encrypt certificates. Daily backups and multiple servers will ensure the preservation of content. OneEntry combines the ease of use of a traditional website and application management system with the flexibility of a Headless CMS that includes all the necessary features for the successful operation of any business project.Starting Price: $29.99 per month -
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Definitive
Definitive
A one-shot prompt-to-visualization API that seamlessly integrates with enterprise & public data, enabling users to instantly & accurately retrieve visually rich answers to their questions. Enables enterprises to engage in dynamic conversations with their own data, fostering efficient collaboration and informed decision-making. Supports Python code generation and joining of disparate data sets. An autonomous data science agent, providing comprehensive support in data analysis, predictive modeling, and advanced analytics. Create the enterprise AI sidekick experience that works best for your organization. Public LLMs are not currently trained on an enterprise's unique, proprietary data sets. Your sidekick unlocks workplace productivity. A more engaging interface for complex analysis is now accessible to all members of the organization, regardless of technical ability. Through API-level access, your sidekick integrates with your existing products, systems, and workflows. -
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Code to Flowchart
Code to Flowchart
Turn code into interactive flowcharts with AI, and simplify complex logic instantly.Starting Price: Free -
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Second State
Second State
Fast, lightweight, portable, rust-powered, and OpenAI compatible. We work with cloud providers, especially edge cloud/CDN compute providers, to support microservices for web apps. Use cases include AI inference, database access, CRM, ecommerce, workflow management, and server-side rendering. We work with streaming frameworks and databases to support embedded serverless functions for data filtering and analytics. The serverless functions could be database UDFs. They could also be embedded in data ingest or query result streams. Take full advantage of the GPUs, write once, and run anywhere. Get started with the Llama 2 series of models on your own device in 5 minutes. Retrieval-argumented generation (RAG) is a very popular approach to building AI agents with external knowledge bases. Create an HTTP microservice for image classification. It runs YOLO and Mediapipe models at native GPU speed. -
18
SuperDuperDB
SuperDuperDB
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands. -
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WhyLabs
WhyLabs
Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks. -
20
Martian
Martian
By using the best-performing model for each request, we can achieve higher performance than any single model. Martian outperforms GPT-4 across OpenAI's evals (open/evals). We turn opaque black boxes into interpretable representations. Our router is the first tool built on top of our model mapping method. We are developing many other applications of model mapping including turning transformers from indecipherable matrices into human-readable programs. If a company experiences an outage or high latency period, automatically reroute to other providers so your customers never experience any issues. Determine how much you could save by using the Martian Model Router with our interactive cost calculator. Input your number of users, tokens per session, and sessions per month, and specify your cost/quality tradeoff. -
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Tumult Analytics
Tumult Analytics
Built and maintained by a team of differential privacy experts, and running in production at institutions like the U.S. Census Bureau. Runs on Spark and effortlessly supports input tables containing billions of rows. Supports a large and ever-growing list of aggregation functions, data transformation operators, and privacy definitions. Perform public and private joins, filters, or user-defined functions on your data. Compute counts, sums, quantiles, and more under multiple privacy models. Differential privacy is made easy, thanks to our simple tutorials and extensive documentation. Tumult Analytics is built on our sophisticated privacy foundation, Tumult Core, which mediates access to sensitive data and means that every program and application comes with an embedded proof of privacy. Built by composing small, easy-to-review components. Provably safe stability tracking and floating-point primitives. Uses a generic framework based on peer-reviewed research. -
22
TrueZero Tokenization
Spring Labs
TrueZero’s vaultless data privacy API replaces sensitive PII with tokens allowing you to easily reduce the impact of data breaches, share data more freely and securely, and minimize compliance overhead. Our tokenization solutions are leveraged by leading financial institutions. Wherever PII is stored, and however it is used, TrueZero Tokenization replaces and protects your data. More securely authenticate users, validate their information, and enrich their profiles without ever revealing sensitive data (e.g. SSN) to partners, other internal teams, or third-party services. TrueZero minimizes your in-scope environments, speeding up your time to comply by months and saving you potentially millions in build/partner costs. Data breaches cost $164 per breached record, tokenize PII & protect your business from data loss penalties and loss of brand reputation. Store tokens and run analytics in the same way you would with raw data. -
23
Apache SkyWalking
Apache
Application performance monitor tool for distributed systems, specially designed for microservices, cloud-native and container-based (Kubernetes) architectures. 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster. Support log formatting, extract metrics, and various sampling policies through script pipeline in high performance. Support service-centric, deployment-centric, and API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party. Metrics, traces, and logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd. -
24
Helios
Helios
Helios provides security teams with context and actionable runtime insights that significantly reduce alert fatigue by enabling real-time visibility into app behavior. We provide precise insights into the vulnerable software components in active use and the data flow within them, delivering an accurate assessment of your risk profile. Save valuable development time by strategically prioritizing fixes based on your application’s unique context – focusing on the real attack surface. Armed with applicative context, security teams can determine which vulnerabilities really require fixing. With proof in hand, there is no need to convince the dev team that a vulnerability is real. -
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Rebuff AI
Rebuff AI
Store embeddings of previous attacks in a vector database to recognize and prevent similar attacks in the future. Use a dedicated LLM to analyze incoming prompts and identify potential attacks. Add canary tokens to prompts to detect leakages, allowing the framework to store embeddings about the incoming prompt in the vector database and prevent future attacks. Filter out potentially malicious input before it reaches the LLM. -
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Shakker
Shakker
With Shakker you can turn your imagination into images, in seconds. AI image generation doesn't have to be clunky when you use Shakker. Whether you want to create images, change styles, combine components, or paint any parts, Shakker makes it smoother than ever for you with prompt suggestions and precise designs. Shakker revolutionizes image creation, you can simply upload a reference photo, and it recommends styles from a library of vast images, making it easy to craft the perfect image. Beyond style transformation, Shakker offers advanced editing tools like segmentation, quick selection, and lasso for precise inpainting. Shakker.AI operates on sophisticated AI algorithms that analyze input and generate images accordingly. It interprets user commands or prompts to produce images that align with specified styles and themes. The underlying technology seamlessly blends AI's computational power with artistic creativity, delivering both unique and high-quality outputs. -
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UbiOps
UbiOps
UbiOps is an AI infrastructure platform that helps teams to quickly run their AI & ML workloads as reliable and secure microservices, without upending their existing workflows. Integrate UbiOps seamlessly into your data science workbench within minutes, and avoid the time-consuming burden of setting up and managing expensive cloud infrastructure. Whether you are a start-up looking to launch an AI product, or a data science team at a large organization. UbiOps will be there for you as a reliable backbone for any AI or ML service. Scale your AI workloads dynamically with usage without paying for idle time. Accelerate model training and inference with instant on-demand access to powerful GPUs enhanced with serverless, multi-cloud workload distribution. -
28
Gemma
Google
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs. -
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Seal Security
Seal Security
Production-ready backported patches that fix CVEs in place, without upgrades, breaking changes, or R&D bottlenecks, whether your code was written by engineers or generated by AI. -
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Iktos
Iktos
Makya is the first user-friendly SaaS platform for AI-driven de novo drug design focused on Multi-Parametric Optimization (MPO). It enables the design of novel and easy-to-make compounds in line with a multi-objective blueprint with unprecedented speed, performance, and diversity. Makya offers multiple generative algorithms covering different use cases from hit discovery to lead optimization: fine-tuning generator to find optimal solutions within your chemical space in line with your project blueprint; novelty generator to find new ideas with high novelty for re-scaffolding/hit discovery; forward generator to design a focused library of compounds easily accessible from commercial starting materials. The new Makya 3D module enhances the user experience and scientific utility of Makya. With an extensive set of 3D modeling features in both ligand-based and structure-based pipelines, with Makya 3D you can now calculate 3D scores and use these to guide generations natively in Makya.
