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Marimo is an open-source, next-generation Python notebook designed to enhance data exploration, experimentation, and application development. It offers a reactive programming environment that ensures code, outputs, and program state remain consistent, addressing common issues found in traditional notebooks. Marimo's notebooks are stored as pure Python files, making them Git-friendly and easily executable as scripts or deployable as interactive web applications. Key Features and Functionality: - Reactive Execution Model: Automatically re-runs dependent cells when changes occur, eliminating hidden state and ensuring reproducibility. - Interactive Widgets: Incorporates UI elements like sliders, text boxes, and interactive plots that synchronize seamlessly with Python code, enhancing data visualization and user interaction. - AI Integration: Supports AI-powered features such as intelligent code autocompletion, error auto-fixing, and integrated chat interfaces, with compatibility for models from OpenAI, Anthropic, Google Gemini, and local models. - SQL Integration: Allows execution of SQL queries directly within notebooks, supporting databases like DuckDB, PostgreSQL, MySQL, and SQLite, facilitating seamless data analysis. - Deployability: Notebooks can be deployed as interactive web applications, run as scripts, or executed in browsers via WebAssembly (WASM), providing flexibility in sharing and deploying work. Primary Value and User Solutions: Marimo addresses the limitations of traditional Python notebooks by offering a reproducible, interactive, and shareable programming environment. Its reactive execution model ensures consistency and eliminates hidden state, enhancing reliability in data analysis and experimentation. The integration of interactive widgets and AI-powered features streamlines the development of data applications, reducing the need for separate front-end development. By storing notebooks as pure Python files, Marimo facilitates version control and collaboration, making it an ideal tool for data scientists, AI engineers, and educators seeking a robust and flexible platform for their workflows.
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CartFerry migrates products, categories, variants and images between WooCommerce, CS-Cart and Shopify, in any direction. Before you pay anything, a free analysis reads your catalog and flags what usually breaks a migration quietly: products whose options or variants exceed Shopify's limits, images on password-protected staging hosts, and fields with no equivalent on the target platform. You see exactly what will transfer and what needs attention, then migrate for one flat price covering your whole catalog, with no per-product fees and no add-on upsells. Every product lands as a draft, so nothing goes live on your new store without your approval. Migrations carry a 90% success guarantee or a full refund, and you can retry any failed items for free. Built for store owners and agencies who've been burned by a migration that reported success but silently lost data.
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Sigmira is a visual product customizer for WooCommerce and Shopify that lets store customers design custom products directly in the browser. Shoppers add text, upload images, and start from pre-made templates in a drag-and-drop editor with an instant, pixel-perfect live preview — on desktop and mobile. For merchants, Sigmira closes the gap between order and production. The moment an order is placed, it generates production-ready files (high-DPI PNG, JPG, PDF, and SVG vector export) attached directly to the WooCommerce order — no manual file recreation, no proofing email chains. Key capabilities: multi-view products (front, back, sides — each with its own print layers), a flexible pricing engine (per-text, per-character, per-view, and per-mm² fees), configurable print areas with safe zones, per-product font libraries, and native support for WooCommerce variable products with dynamic cart thumbnails.
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Skygenic delivers independent mechanism defense audits for drug repurposing programs, biotech Series B due diligence, and NIH grant defense. Each audit evaluates biological mechanism strength, causal driver classification, cross-dataset reproducibility, contradiction detection, and evidence gap mapping — cross-referenced against thousands of datasets through the Scientific Reasoning Layer. Delivered as a structured report per engagement. No subscription required.
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Tag.bio has developed a software platform that enables doctors and scientists to perform complex, robust, reproducible data analyses in seconds rather than waiting weeks to months for a data scientist or bioinformatician to do it for them. Conceived by a former computational biologist at the UCSF Cancer Center, the Tag.bio platform empowers organizations with proven, best-practices techniques in data science, machine learning, and AIall delivered via user-friendly apps.
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AgentFabrica is an AI-assisted marketing platform for businesses and agencies. From one panel, teams generate social media posts, images, video and ad copy, plan them on a content calendar with an approval step, and publish to Instagram, TikTok, LinkedIn, Facebook and YouTube. The platform also covers Meta and Google ad management with rule-based automation (pause, resume and budget rules checked every 30 minutes), marketplace ads driven by per-product margin, SEO audits, local listings and reviews, online reputation monitoring, a WhatsApp chatbot with live chat handover, competitor ad and price tracking, and a single report that brings ad, social and website data together. Agencies can manage several brands and clients in one account with a team, a client approval flow and white-label options. AgentFabrica also offers an MCP connector so its tools can be used from AI assistants.
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AI review of finished 8D reports across D1–D8: for suppliers before sending and for customers evaluating incoming supplier reports. 8D Scan Pro reviews finished 8D reports and complaint reports in seconds – as PDF, Word or Excel. The tool does not write reports; it evaluates them against a fixed, weighted D1–D8 scheme. Two use cases, equally supported: Suppliers check their own 8D report before sending it to the customer and catch gaps that would lead to rejection. Customers evaluate their suppliers' 8D reports consistently and comparably, instead of judging each report by a different standard. Root cause analysis (D4) is reviewed with particular rigor: the tool distinguishes whether a cause has been reproduced, is supported by data, or is merely asserted, and it checks the occurrence cause and the non-detection cause separately. The result is an overall score, a score per discipline, specific findings and an action plan – also available as a PDF to file and share. Uploaded reports are not used to train AI models. An optional human second opinion is available from an experienced IATF auditor and certified VDA 6.3 auditor with long-standing experience in Supplier Quality Management. A complete sample result is available without sign-up: https://8dscanpro.com/sample-result Features: - Upload 8D reports as PDF, DOCX or XLSX - Weighted D1–D8 scoring with overall score - D4 root cause review with evidence strength (reproduced / supported by evidence / merely asserted) - Separate review of occurrence and non-detection causes - Specific findings and prioritized action plan - Captures base data (complaint number, part, defect, complaint date) - PDF review report to file and share - One consistent standard for comparing multiple suppliers - History of all reviews - Interface and results in English and German - Reports never used for AI training - Optional: expert second opinion within 24 hours
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Pie Medical Imaging B.V. is a company with a wide range of software solutions for optimal assistance during medical diagnostics and interventions.Our Image processing products are aimed to provide highly accurate and reproducible data as required by cardiologists and radiologists and to provide assistance during the intervention. As a leading company with more than 30 years of experience in the healthcare sector our objective is to develop innovative solutions that provide an answer to the need in both clinical and in research settings.
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Celeus is an AI statistics assistant for researchers in any field. Upload a dataset and Celeus suggests a suitable statistical test, runs it deterministically in R, and explains the result. The statistics are computed in R; an AI model writes the plain-language interpretation, drafts and edits text, answers questions in chat and, on request, suggests a test. Every analysis is seeded and ships as a reproducible package. No data rows ever reach the AI: it sees a de-identified profile of the dataset, aggregate results and the text you write.
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CleanStart Images are verified hardened container images built for secure software delivery and container image security. Each image is rebuilt from source using reproducible build pipelines and includes security evidence such as SBOMs, cryptographic signatures, and software provenance. Designed for Kubernetes and cloud-native environments, CleanStart Images help organizations reduce container vulnerabilities, minimize attack surface, and deploy trusted container foundations with confidence as part of a secure software supply chain.
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GenoFAB is a cloud-based laboratory information management system and electronic laboratory notebook aplication. GenoFAB includes a tasks management module allowing all members of the team to know what they have to do, when they have to do it, and how to do it. The sample tracking solution is based on a powerful barcoding solution that allows every member of the team to print barcoded labels from a web browser. GenoFAB has been designed to maximize process reproducibility and the value of data organized to support discovery and operational excellence.
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HawkAI is a preclinical MRI deep learning algorithm developed by HawkCell, designed to enhance the quality of MRI scans in research settings. This post-processing solution utilizes convolutional neural networks to transform low signal-to-noise ratio (SNR), noisy MRI images into high-quality visuals without necessitating hardware modifications. By applying advanced denoising and image reconstruction techniques, HawkAI improves image clarity, boosts SNR, and preserves anatomical contrast, resulting in enhanced reproducibility and sharper details for in-vivo imaging studies.
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Session replay and AI behavioral analytics for Unity mobile games. FlyOn records 100% of player sessions with zero performance impact (<1ms), lets teams replay sessions and inputs directly in Unity Editor, and connects to Claude AI so anyone on the team can ask questions about player behavior in natural language. Built for Unity teams that struggle with: unreproducible production bugs (~40% can't be reproduced from logs), unexplained churn, and invisible funnel/economy leaks.
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Nummbas is a financial command center built for direct-to-consumer ecommerce businesses. It connects to Shopify, Stripe, QuickBooks, Meta, Google Ads, TikTok, Klaviyo, ShipStation, and more to show founders their real profit, not just revenue. One dashboard shows what you earned, what you spent, what you kept, and how long your cash will last. Updated daily without spreadsheets. Nummbas includes an AI Financial Officer you can ask questions in plain English, smart alerts that flag problems before they get expensive, per-product profitability breakdowns, unified ad performance across platforms, cash projection and scenario modeling, an owner draw guide that tells you how much you can safely pay yourself, and PDF business reports you can share with investors or your team. Built for founder-led DTC brands doing $50K to $1M+ per month who need to see beyond revenue and understand what is actually profitable.
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Magic.dev is pioneering the development of advanced AI models designed to automate the entire software engineering process. By integrating frontier-scale pre-training, domain-specific reinforcement learning, and ultra-long context windows, Magic.dev's models can comprehend and manage extensive codebases, effectively holding millions of lines of code in memory. This capability enables the AI to plan, write, review, and test code autonomously, streamlining complex development tasks and enhancing overall productivity. Key Features and Functionality: - Frontier Code Models & Reinforcement Learning: Magic.dev combines large-scale pre-training with domain-specific reinforcement learning to create models capable of planning, writing, reviewing, and testing code across extensive codebases. These models analyze repositories, documentation, and tickets to propose changes, draft pull requests, and iterate based on feedback, ensuring stable production environments as capabilities evolve. - Cloud-Scale Training & Inference: Utilizing cloud-scale training and inference, Magic.dev's models benefit from high-throughput training runs and substantial inference-time compute resources. This infrastructure supports long-context reasoning, robust code synthesis, and rapid iteration during post-training and reinforcement learning phases, leading to consistent accuracy on real-world repositories without necessitating significant toolchain modifications. - Ecosystem & Roadmap: Magic.dev focuses on enhancing context windows, data pipelines, and product interfaces that seamlessly integrate AI models into daily engineering workflows. The emphasis is on improving repository understanding, planning, and verification, with a commitment to reproducible evaluations and practical integrations with editors, continuous integration systems, and review processes. Primary Value and Problem Solved: Magic.dev addresses the limitations of traditional code assistance tools by offering AI models that maintain comprehensive system context, plan modifications, and provide justified outputs. This approach mitigates throughput bottlenecks in large codebases, such as missing dependencies, misinterpreted interfaces, and inefficient reviews, by concurrently analyzing repositories, documentation, and tickets. Teams benefit from reproducible evaluations, safer pilot implementations, and clearer audit trails, transitioning from superficial code suggestions to reliable contributions that withstand continuous integration and code review processes.
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Cypherock X1 is the world's safest hardware wallet. It is audited by Keylabs, a security firm that has found vulnerabilities in Ledger and Trezor. Cypherock X1 comes with a desktop application 'cySync' that let's you manage your crypto portfolio with ease and utmost security. - Store 3000+ tokens securely. - Open-source, certified reproducible by WalletScrutiny. - Use it as a seed phrase backup for your existing BIP39 wallets like Ledger, Trezor, Metamask. - View, manage multiple wallets' portfolios on a single app!
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lakeFS provides a scalable data version control system that supports any file format, is available on-prem, public cloud, and private cloud. lakeFS allows you to version your data using git-like operations like branches to create isolated data versions, commits for reproducible points in time, and merges to incorporate changes seamlessly. Trusted by thousands of ML and data engineers, data scientists and DataOps teams across the globe, lakeFS enable sdata practitioners to scale their AI/ML projects across their entire lifecycle - from development to staging to production.
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A logo is the cornerstone of your brand’s identity, which reflects everything that your brand stands for in a visual format. A custom logo is easily adaptable and reproducible, allowing you to use it as an identity for your website, social media platforms, packaging, and any other article relating to your brand. The uniqueness of your logo is exceedingly important and enables you to stand out from your competitors. Good logos encapsulate your brand’s spirit, vision, and personality, conveying your values at a single glimpse. At PNC Logos, we provide you with a custom logo design at the best rates and perfectly tailored to your business’ branding needs.
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SEAMS (Scanning Electron Analysis for Materials Science) is RJ Lee Group’s specialized software designed to enhance materials analysis through automated scanning electron microscopy (SEM). SEAMS streamlines the acquisition, processing, and interpretation of SEM data, providing advanced tools for microstructural analysis, defect identification, and surface characterization. With features like automated image stitching, data mapping, and elemental analysis integration, SEAMS empowers users to efficiently analyze complex materials with high precision and reproducibility. This software is ideal for researchers, engineers, and quality control professionals looking to optimize their SEM workflows and gain deeper insights into material properties.
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LionRapid is an EU-hosted translation and localization platform that puts the whole job on one platform instead of several subscriptions. It combines a CAT editor (translation memory, termbase, machine translation with entity protection), quality assurance you can inspect (about 20 live language checks plus structural checks that diff the rebuilt document against the source), reproducible CAT-band quoting, project workflow with QA gates, a Subtitle Studio for SRT/VTT, and a localization API with a JavaScript SDK. It round-trips XLIFF/TMX/TBX with existing tools. Built and hosted in the EU (Azure West Europe), operated by Logoteknia Oy in Finland.