Business Software for Python - Page 33
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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. -
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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. -
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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. -
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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. -
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Dryrun Security
DryRun Security
DryRun Security has been built from our experience training 10,000+ developers and security professionals in application security testing and building security products at GitHub and Signal Sciences. From our experience, one thing is missing from all tools on the market today: security context for developers. Developers make code changes all day, every day. They need a security tool that provides security context to help them move faster and safer. Security code reviews often slow down the development team and happen too late in the development pipeline. Developers need security context right when a pull request is opened, so they can know the impact of the code change that's getting merged. Until now, most security testing has taken a generic approach that frustrates developers with repetitive alerts or inaccurate results. -
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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. -
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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. -
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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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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. -
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Trickest
Trickest
Join us in our mission to democratize offensive security with tailored best-in-class solutions that address the unique needs of professionals and organizations. Evolve from the terminal to a specialized IDE for offensive security. Use Trickest’s library of tool nodes, import your own scripts, or drop in your favorite open-source tools all in one place. Choose from template workflows for common tasks and a growing list of 300+ open source tools the security community loves. Run your workflows in the cloud with easy autoscaling and cost controls. Skip manual infrastructure setup and stop paying for idle VPSs. No more digging through filesystems for your old runs, use Trickest’s spaces, projects, and workflow versioning to stay on top of even the most complex projects. Trickest is for anyone who interacts with offensive security: enterprise security teams, red teams, purple teams, specialized pen testers, bug bounty hunters, security researchers, educators, etc. -
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Syhunt Hybrid
Syhunt
Syhunt dynamically injects data in web applications and analyzes the application response to determine if the application code is vulnerable, automating the web application security testing and proactively guarding your organization's Web infrastructure against several kinds of web application security threats. Syhunt Hybrid follows simple GUI standards, prioritizing ease of use and automation and thus requiring minimal to no user intervention before or during scans despite a large number of customization options. Compare past scan sessions to determine new, unchanged or removed vulnerabilities. Generate a comparison report that displays the evolution of vulnerabilities over time by automatically comparing previous scan session data related to a specific target. -
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Filigran
Filigran
Embrace a proactive approach with end-to-end cyber threat management, from anticipation to response. Tailored to elevate cybersecurity through comprehensive threat intelligence, advanced adversary simulation, and strategic cyber risk management solutions. Get a holistic view of your threat environment and improved decision-making for faster incident response. Organize your cyber threat intelligence knowledge to enhance and disseminate actionable insights. Access consolidated view of threat data from multiple sources. Transform raw data into actionable insights. Enhance sharing and actionable insights dissemination across teams and tools. Streamline incident response with powerful case management capabilities. Create dynamic attack scenarios, ensuring accurate, timely, and effective response during real-world incidents. Build both simple and intricate scenarios tailored to various industry needs. Improve team dynamics with instant feedback on responses. -
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Zama
Zama
Improve patient care while maintaining privacy by allowing secure, confidential data sharing between healthcare providers. Facilitate secure financial data analysis for risk management and fraud detection, keeping client information encrypted and safe. Create targeted advertising and campaign insights in a post-cookie era, ensuring user privacy through encrypted data analysis. Enable data collaboration between different agencies, while keeping it confidential from each other, enhancing efficiency and data security, without revealing secrets. Give the ability to create user authentication applications without having to reveal their identities. Enable governments to create digitized versions of their services without having to trust cloud providers. -
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Yandex Object Storage
Yandex
Objects in Object Storage are stored in multiple geographically distributed availability zones. Each replica is updated when you edit, create, or delete an object. To manage Object Storage, you can use tools that are compatible with Amazon S3, including the API, CLI, WinSCP, Java SDK, or Python SDK. To get started with Object Storage, go to the Yandex Cloud management console. Create and configure your first bucket. Drag files to the bucket screen to upload them. Physical media is located in Yandex data centers, which are highly secure facilities. Data is stored in an encrypted format and no one with access to the physical media can read the data. -
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Serverless computing is ideal for systems with unpredictable loads. Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working. YDB is tailored to meet high-performance requirements and can process hundreds of thousands of transactions per second with low latency. The system was designed to handle hundreds of petabytes of data.
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LSEG Workspace
LSEG Data & Analytics
Easily access, intuitively discover and seamlessly engage with unique solutions that power productivity and impact. Workspace is your central hub for broad and deep information – from datasets and analytics to trusted news and content. It features an integrated developer environment that lets you use and analyze data more flexibly and build and share your own apps, systems and tools in an open community that makes more possible. Access best-in-class data and analytics, AI-powered and community-created solutions. We offer unmatched, curated content across many asset classes, including ESG-based portfolio recommendations and alternative data. Workspace’s intuitive, browser-like navigation makes it easy to find and analyze content you need or monitor the markets across multiple displays. -
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Superlinked
Superlinked
Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook. -
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XetaBase
Zetta Genomics
The unique XetaBase platform simplifies tertiary analysis, aggregating, indexing, and enriching secondary genomic data, enabling continual re-interpretation to unlock research and clinical insight. XetaBase accelerates data management and the cost-effective application of genomic data in the lab and clinic. XetaBase encompasses genomic scale, the greater the volume and complexity, the greater the insight and outcomes. XetaBase is a genomic-native technology, built on the open-source, OpenCB software platform to meet the scale, speed, and re-interpretation demands of genomic medicine. Zetta Genomics delivers genomic data management fit for the precision medicine age. XetaBase is a completely novel solution to the challenges of genomic data. It sweeps away obsolete flat file approaches to bring meaningful and actionable genomic data into the lab and the clinic. XetaBase empowers continual re-interpretation while scaling seamlessly as databases grow to encompass genome sequences. -
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BlueFlag Security
BlueFlag Security
BlueFlag Security provides multi-layer defense, protecting developer identities and their tools throughout the software development lifecycle (SDLC). Don't let uncontrolled developer and machine identities become the Achilles' heel of your software supply chain. Weaknesses in these identities create a backdoor for attackers. BlueFlag seamlessly integrates identity security across the SDLC safeguarding your code, tools, and infrastructure. BlueFlag automates the rightsizing of permissions for developer and machine identities, enforcing the principle of least privilege throughout the dev environment. BlueFlag enforces strong identity hygiene by deactivating off-boarded users, managing personal access tokens, and restricting direct access to developer tools and repositories. BlueFlag's ensures early detection and prevention of insider threats and unauthorized privileged escalation by continuously monitoring behavior patterns across the CI/CD. -
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Anon
Anon
Anon offers two powerful ways to integrate your applications with services that lack APIs, enabling you to build innovative solutions and automate workflows like never before. The API packages pre-built automation on popular services that don’t offer APIs and are the simplest way to use Anon. The toolkit to build user-permissions integrations for sites without APIs. Using Anon, developers can enable agents to authenticate and take actions on behalf of users across the most popular sites on the internet. Programmatically interact with the most popular messaging services. The runtime SDK is an authentication toolkit that lets AI agent developers build their own integrations on popular services that don’t offer APIs. Anon simplifies the work of building and maintaining user-permission integrations across platforms, languages, auth types, and services. We build the annoying infra so you can build amazing apps. -
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Abstra
Abstra
Securely authenticate users with SSO or SAML providers and manage permissions to any app with advanced, custom granular control. Securely authenticate users with SSO or SAML providers and manage permissions to any app with advanced, custom granular control. Deploy on-premise to benefit from our fast-building tools while ensuring every piece of data stays within your network. Be that for customer-facing or internal processes, make sure your onboarding has the perfect fit. Integrate to your favorite services or manage it all inside Abstra. Skip error-prone, repetitive work by creating automated tasks. Combine dynamic forms and workflows to streamline information gathering, reminders and transactions. Save time and guarantee your data quality and transparency by automating your reconciliation workflow. -
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3LC
3LC
Light up the black box and pip install 3LC to gain the clarity you need to make meaningful changes to your models in moments. Remove the guesswork from your model training and iterate fast. Collect per-sample metrics and visualize them in your browser. Analyze your training and eliminate issues in your dataset. Model-guided, interactive data debugging and enhancements. Find important or inefficient samples. Understand what samples work and where your model struggles. Improve your model in different ways by weighting your data. Make sparse, non-destructive edits to individual samples or in a batch. Maintain a lineage of all changes and restore any previous revisions. Dive deeper than standard experiment trackers with per-sample per epoch metrics and data tracking. Aggregate metrics by sample features, rather than just epoch, to spot hidden trends. Tie each training run to a specific dataset revision for full reproducibility.