Each year at PyCon US, Startup Row highlights a select group of early-stage companies building ambitious products with Python at their core. The 2026 cohort reflects a rapidly evolving landscape, where advances in AI, data infrastructure, and developer tooling are reshaping how software is built, deployed, and secured.

This year’s companies aim to solve an evolving set of problems facing independent developers and large-scale organizations alike: securing AI-driven applications, managing multimodal data, orchestrating autonomous agents, automating complex workflows, and extracting insight from increasingly unstructured information. Across these domains, Python continues to serve as a unifying layer: encouraging experimentation, enabling systems built to scale, and connecting open-source innovation with real-world impact.

Startup Row brings these emerging teams into direct conversation with the Python community at PyCon US. Throughout the conference, attendees can meet founders, explore new tools, and see firsthand how these companies are applying Python to solve meaningful problems. For the startups in attendance, it’s an opportunity to share their work, connect with users and collaborators, and contribute back to the ecosystem that helped shape them. Register now to experience Startup Row and much more at PyCon US 2026.

CapiscIO

As multi‑agent AI systems become the backbone of emerging digital workflows, developers lack a reliable way to verify agent identities and enforce governance. CapiscIO steps into that gap, offering an open‑core trust layer built for the nascent agent economy.

CapiscIO offers cryptographic Trust Badges, policy enforcement, and tamper‑evident chain‑of‑custody wrapped in a Python SDK. Released under Apache 2.0, it ships a CLI, LangChain integration, and an MCP SDK that let agents prove identity without overhauling existing infrastructure.

The capiscio‑core repository on GitHub hosts the open‑source core and SDKs under Apache 2.0, drawing early contributors building agentic pipelines.

Beon de Nood, Founder & CEO, brings two decades of enterprise development experience and a prior successful startup to the table. “AI governance should be practical, not bureaucratic. Organizations need visibility into what they have, confidence in what they deploy, and control over how agents behave in production,” he says.

CapiscIO is continuously adding new extensions, expanding its LangChain and MCP SDKs, and preparing a managed agent‑identity registry for enterprises. In short, CapiscIO aims to be the passport office of the agent economy, handing each autonomous component an unspoofable ID and clear permissions.

Chonkie

The explosion of retrieval‑augmented generation (RAG) is unlocking AI’s ability to reason over ever‑larger knowledge bases. Yet the first step of splitting massive texts into meaningful pieces still lags behind.

Chonkie offers an open‑core suite centered on Memchunk, a Python library with Cython acceleration that delivers up to 160 GB/s throughput and ten chunking strategies under a permissive license. It also ships Catsu, a unified embeddings client for nine providers, and a lightweight ingestion layer; the commercial Chonkie Labs service combines them into a SaaS that monitors the web and synthesises insights.

Co‑founder and CEO Shreyash  Nigam, who grew up in India and met his business partner in eighth grade, reflects the team’s open‑source ethos, saying “It’s fun to put a project on GitHub and see a community of developers crowd around it.” That enthusiasm underpins Chonkie’s decision to release its core tooling openly while building a commercial deep‑research service.

Backed by Y  Combinator’s Summer  2025 batch, Chonkie plans to grow from four to six engineers and launch the next version of Chonkie Labs later this year, adding real‑time web crawling and multi‑modal summarization. In short, Chonkie aims to be the Google of corporate intelligence.

Pixeltable

Multimodal generative AI is turning simple datasets into sprawling collections of video, images, audio and text, forcing engineers to stitch together ad‑hoc pipelines just to keep data flowing. That complexity has created a new bottleneck for teams trying to move from prototype to production.

The open‑source Python library from Pixeltable offers a declarative table API that lets developers store, query and version multimodal assets side by side while embedding custom Python functions. Built with incremental update capabilities, combined lineage and schema tracking, and a development‑to‑production mirror, the platform also provides orchestration capabilities that keep pipelines reproducible without rewriting code.

The project has earned ≈1.6 k  GitHub stars and a growing contributor base, closed a $5.5  million seed round in December 2024, and is already used by early adopters such as Obvio and Variata to streamline computer‑vision workflows.

Co‑founder and CTO Marcel  Kornacker, who previously founded Apache Impala and co-founded Apache Parquet, says “Just as relational databases revolutionized web development, Pixeltable is transforming AI application development.”

The company's roadmap centers on launching Pixeltable Cloud, a serverless managed service that will extend the open core with collaborative editing, auto‑scaling storage and built‑in monitoring. In short, Pixeltable aims to be the relational database of multimodal AI data.

Skyvern

Manual browser work remains a hidden bottleneck for many teams, turning simple data‑entry tasks into fragile scripts that break on the slightest UI change. Skyvern’s open‑source agent is one of the tools reshaping how developers and non‑technical users automate the web.

The Skyvern library lets anyone build a no‑code browser agent that combines computer‑vision models with a large language model to see, plan, act, and validate each step of a web workflow. Its planner–actor–validator loop compiles successful runs into deterministic code, while the free open‑source core can be run locally or via Skyvern Cloud on a per‑automation pricing model.

The GitHub repository has attracted ≈20 k stars, drawing an active community of contributors who extend the framework and share evaluation datasets. The company monetizes through Skyvern Cloud, letting teams run agents without managing infrastructure.

Skyvern is preparing a release that tightens vision‑model integration, adds support for additional LLM providers, and launches a self‑serve dashboard aimed at non‑technical teams. In short, Skyvern aspires to be the Django of browser‑automation, pairing developer friendliness with production reliability.

SubImage

The sheer complexity of modern multi‑cloud environments turns security visibility into a labyrinth, and  SubImage offers a graph‑first view that cuts through the noise.

It builds an infrastructure graph using the open‑source Cartography library (Apache‑2.0, Python), then highlights exploit chains as attack paths and applies AI models to prioritize findings based on ownership and contextual risk.

Cartography, originally developed at Lyft and now a Cloud Native Computing Sandbox project, has ≈3.7 k GitHub stars, is used by over 70 organizations, and SubImage’s managed service already protects security teams at Veriff and Neo4j; the company closed a $4.2  million seed round in November 2025.

Co‑founder Alex  Chantavy, an offensive‑security engineer, says “The most important tool was our internal cloud knowledge graph because it showed us a map of the easiest attack paths … One of the most effective ways to defend an environment is to see it the same way an attacker would.”

The startup is focusing on scaling its managed service and deepening AI integration as it targets larger enterprise customers. In short, SubImage aims to be the map of the cloud for defenders.

Tetrix

Private‑market data pipelines still rely on manual downloads and spreadsheet gymnastics, leaving analysts chasing yesterday’s numbers. Tetrix’s AI investment intelligence platform is part of a wave that brings automation to this lagging workflow.

Built primarily in Python, Tetrix automates document collection from fund portals and other sources, extracts structured data from PDFs and other unstructured sources using tool-using language models, then presents exposures, cash flows, and benchmarks through an interactive dashboard that also accepts natural‑language queries.

The company is growing quickly, doubling revenue quarter over quarter and, at least so far, maintains an impressive record of zero customer churn. In the coming year or so, Tetrix plans to triple its headcount from fifteen to forty‑five employees.

TimeCopilot

Time‑series forecasting has long been a tangled mix of scripts, dashboards, and domain expertise, and the recent surge in autonomous agents is finally giving it a unified voice. Enter TimeCopilot, an open‑source framework that brings agentic reasoning to the heart of forecasting.

The platform, built in Python under a permissive open‑source license, lets users request forecasts in plain English. It automatically orchestrates more than thirty models from seven families, including Chronos and TimesFM, while weaving large language model reasoning into each prediction. Its declarative API was born from co‑founder  Azul Garza‑Ramírez’s economics background and her earlier work on TimeGPT for Nixtla (featured SR'23), evolving from a weekend experiment started nearly seven years ago.

The TimeCopilot/timecopilot repository has amassed roughly 420  stars on GitHub, with the release of OpenClaw marking a notable spike in community interest.

Upcoming plans include a managed SaaS offering with enterprise‑grade scaling and support, the rollout of a benchmarking suite to measure agentic forecast quality, and targeted use cases such as predicting cloud‑compute expenses for AI workloads.

Thank You's and Acknowledgements

Startup Row is a volunteer-driven program, co-led by Jason D. Rowley and Shea Tate-Di Donna (SR'15; Zana, acquired Startups.com), in collaboration with the PyCon US organizing team. Thanks to everyone who makes PyCon US possible.

We also extend a gracious thank-you to all startup founders who submitted applications to Startup Row at PyCon US this year. Thanks again for taking the time to share what you're building. We hope to help out in whatever way we can.

Good luck to everyone, and see you in Long Beach, CA!

Several vulnerabilities were discovered in BIND, a DNS server implementation, which may result in bypass of ACL restrictions or denial of service.

https://security-tracker.debian.org/tracker/DSA-6181-1

Library book that was borrowed in Dudley, West Midlands, in Britain returned to a library 16,898 km (10,500 miles) away in Australia.

The Z80 has been gone a couple of years now, but it’s very much not forgotten. Still, the day when new-old-stock and salvaged DIP-40 packaged Z80s will be hard to come by is slowly approaching, and [eaw] is going to be ready with the picoZ80 project.

You can probably guess where this is going: an RP2350B on a DIP-40 sized PCB can easily sit on the bus and emulate a Z80. It can do so with only one core, without breaking a sweat. That left [eaw] a second core to play with, allowing the picoZ80 to act as a heck of an accelerator, memory expander, USB host, disk emulator– you name it. He even tossed in an ESP32 co-processor to act as a WiFi, Bluetooth, and SD-card controller to use as a virtual, wirelessly accessible disk drive.

The onboard ram that comes with an RP2350B would be generous by 1980s standards, but [eaw] bumped that up with an 8 MB SPRAM chip–accessed in 64 pages of 64 kB each, naturally. If more RAM than a very pricey hard drive wasn’t luxury enough, there’s also 16 MB of flash memory available. That’s configured to store ROM images that are transferred to the RAM at boot– the virtual Z80 isn’t grabbing from the flash at runtime in [eaw]’s architecture, because apparently there are limits to how much he wants to boost his retro machines.

There are already drivers to use in certain Z80 systems. You can of course configure it as a bare Z80 with no machine-specific emulation, or set up the picoZ80 with the “persona” of a classic Z80 machine. So far [eaw] has tried this on an RC2014 homebrew computer, as well as Sharp MZ-80A– which we’ve seen here before, in miniature–and Sharp MZ-700. The Sharp drivers are still works in progress, after which the Amstrad PCW8256/Tatung TC01 is apparently next. We’ve seen Amstrad PCWs here a time or two as well, come to think of it.

If somehow you missed it, the venerable Z80 only hit EOL in 2024, so supplies won’t be drying up any time soon. This hack is really more about the quality-of-life addons this allows. Come back in a decade, and we’ll see if the RP2350 lasts longer than the stack of NOS Z80s.

Despite being declared the third-hottest year on record, 2025 was a relatively quiet year for climate disasters in the US. No major hurricanes made landfall, while the total number of acres burned in wildfires last year—a way of measuring the intensity of wildfire season—fell below the 10-year average.

But starting this week, the West is experiencing what looks to be a record-breaking heat wave, while forecasting models predict that a strong El Niño event is likely to emerge later this year. These two unrelated phenomena could set the stage for a long stretch of unpredictable and extreme weather reaching into next year, compounding the effects of a climate that’s getting hotter and hotter thanks to human activity.

First, there’s the heat. Beginning this week and heading into next, a massive ridge of high-pressure air will bring record-breaking temperatures to the American West. The National Weather Service predicts that temperature records across multiple states are set to be broken in dozens of locations, stretching as far east as Missouri and Tennessee. The NWS has issued heat warnings for parts of California, Arizona, and Nevada, as well as fire warnings for parts of Wyoming, Nebraska, South Dakota, and Colorado.

“This will be the single strongest ridge we’ve observed outside of summer in any month,” says Daniel Swain, a climate scientist at the University of California Agriculture and Natural Resources.

The other remarkable thing about this heat wave, Swain says, is just how long it’s going to last. “This is not a day or two of extreme heat,” he says. “We've already in some of these places been seeing record highs every day for a week, and we expect to see them every day for another at least seven to 10 days.” The later end of March will be much more intense, with temperatures in some places breaking April and May records. “There aren't that many weather patterns that can result in an 85- or 90-degree temperature in San Francisco, Salt Lake City, and Denver in the same week.”

This late winter heat wave is adding on to an already warm winter in the West—with big implications for the summer. A month ago, snowpack levels across multiple states were at record lows thanks to warmer-than-average temperatures. According to data provided by the Department of Agriculture, snowpack levels were still sitting below 50 percent of average across many Western states. Snowpack is a critical natural reservoir for rivers in the West; between 60 to 70 percent of the region’s water supply in many areas comes from melting snow. Low snowpack is a bad sign for already-stressed rivers like the Colorado, which supplies water for 40 million people in seven states.

The ongoing heat wave, Swain says, will more than likely make conditions even worse. “April 1st is typically the point at which snowpack would be, at least historically, at its peak,” he says. Even if temperatures cool off until summer, these low snowpack levels are also a worrisome sign for the upcoming fire season. Snow droughts like the one the West is experiencing can dry out soil, kill trees, and lessen stream flow: ideal conditions for a wildfire to grow. Meanwhile, the water supply in the Colorado River could drop even lower. States that rely on the river are already facing a political crisis as they attempt to renegotiate water rights; a drought would only up the ante.

Then there’s El Niño. Last week, the National Weather Service announced that there was more than a 60 percent chance of an El Niño event emerging in August or September. Various weather models suggest that this El Niño could be particularly strong. While we likely won’t know for sure until summer, “the fact that [all the models] are moving upwards is worth watching,” says Zeke Hausfather, a research scientist at Berkeley Earth.

El Niño is a natural cycle of climate variability, usually concentrated in the tropical Pacific, that pushes heat from the ocean into the atmosphere and towards the western coast of the US. El Niño years are typically warm—an average El Niño can increase yearly global temperatures by 1.2° C.

No one can predict for certain what impact, exactly, El Niño will have in the coming months. The phenomenon has a variety of effects on weather around the world. “It’s not always super consistent: Some areas get wetter, and some areas get drier,” says Hausfather. In the US, El Niño is generally associated with cooler and wetter conditions in the Southeast and Southwest with warmer conditions in western Canada and Alaska.

This could be potentially good news for some areas in the Southwest that, following a parched summer due to lack of snowpack, need more water. But, says Swain, an El Niño event could also increase the chances of dry thunderstorms in some areas—which up the chance for wildfires from lightning in already-dry terrain. During the last strong El Niño event in 2016, heavy rain triggered mudslides in some areas of drought-stricken California. Heavy storms in areas affected by both wildfires and drought have been linked to increased likelihood of mudslides.

“People talk about ‘climate chaos’—I don't love the term in the context of climate change, because we still have a very structured climate,” says Swain. “But a very strong El Niño event really does induce chaos. It induces patterns that are very different from typical historical norms.”

And there’s no denying that human-caused climate change is upping the ante for heat increases from natural events like El Niño.

“Obviously, any El Niño event that happens is happening on top of human-caused climate change,” Hausfather says. “We’ve warmed the planet 1.4° [Celsius]. So you’re going to have a much bigger impact from heat, for example, if you start at that level versus 150 years ago.”

This story originally appeared on Wired.

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