epanet-js
No installs. No forced cloud storage. Just fast, local-first water modeling — powered by the engine you already trust.
You shouldn't have to choose between speed, security, and affordability just to understand your water networks.


If you’re designing or improving a “need to do” bot, here are some that are commonly useful:
Comparative Architecture: Traditional Bots vs. Autonomous Agents Operational Metric Traditional Rule-Based Bots Modern Autonomous Agents Rigid If/Then hardcoded decision trees Context-aware large language models Edge-Case Resilience System crashes or fails to respond Dynamically reformulates the solution path Integration Needs Expensive, native custom APIs Direct browser, UI, and application usage Primary Value High-speed, basic query deflection Complete, end-to-end task completion Step-by-Step Blueprint for Enterprise Deployment
The : Revolutionizing Business Workflows with Intelligent Automation
Manual data entry and system-to-system copy-pasting introduce human errors and slow down operational velocity. need2bot
Are you ready to build your first agent? The era of the bot is here, and the "need" has never been greater.
An automation framework is only useful if it can communicate with your existing tech ecosystem. Platforms must bridge gaps between disparate cloud apps. For instance, developers frequently turn to open-source backend tools like Appwrite to orchestrate identity validation, coordinate structured databases, and handle active messaging services all from a single location. Connecting your automation setups directly into extensive, cloud-capable ecosystems like the AWS Partner Network lets systems auto-scale on demand as workflow volume spikes. 2. Cognitive Context and Deep Learning
Even if the bot works initially, the risk of losing your game account permanently may outweigh any short‑term benefits. If you’re designing or improving a “need to
In today's fast-paced digital landscape, automation has become an essential tool for businesses and individuals alike. With the increasing demand for efficiency and productivity, automation technologies have evolved to streamline processes, reduce manual labor, and enhance overall performance. One such innovation that has been making waves in the automation space is Need2Bot, a cutting-edge solution that is transforming the way we work.
: You cannot handle a sudden surge in business volume without hiring massive amounts of seasonal or temporary support staff.
The strategic advantages of shifting from manual human workflows to automated bot systems are clear across every major business metric: Operational Metric Manual Human Workflows Automated Bot Systems Minutes to hours per task Fractions of a second Availability Restricted to standard shifts 24/7/365 uninterrupted uptime Error Margin High (Fatigue, distractions) Near zero (Rules-based precision) Cost per Task Variable (Tied directly to labor hours) Flat, predictable software overhead Scalability Slow (Requires recruiting & onboarding) Instant (Spin up new cloud instances) 5 Crucial Steps to Build and Deploy Your First Bot The era of the bot is here, and
Talented human capital spends more than 30% of their billable hours executing copy-paste data transfers between disconnected legacy enterprise resource planning (ERP) platforms.
Large enterprise data pipelines and infrastructure automation. Machine Learning & Compute
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EPANET was a gift to the industry — free, open-source water modeling for all. But commercial vendors built on it, locked away improvements, and left the community behind.
epanet-js is our answer: a faster, simpler, affordable water modeling tool that protects your privacy and sustains the open-source future of water modeling.
We're proud to be part of the next chapter — and we're just getting started.

When you purchase more features in epanet-js, you're investing in the future of open-source EPANET development.
Our open-source model balances innovation and accessibility:
Anyone can build on our code. The two-year commercial-use delay gives us the incentive to keep pushing forward — and that fuels progress for everyone.
That means when you support us, you support more affordable hydraulic modeling software for the entire community.
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Available for non-commercial projects, learning, and student work.
For curious minds and personal growth.
Free for students and teachers.
Find answers to common questions about epanet-js.
No install. No login. No cloud required.
You may not know this, but for decades, the U.S. EPA has given the water industry an extraordinary gift: the free and open-source hydraulic modeling software EPANET. Odds are, if you've used any commercial hydraulic modeling software today, it was built on the EPANET engine.
The problem is, instead of giving back to their open-source roots like other industries do, big-name software vendors took EPANET's open code, built private tools on top of the engine, and then locked those improvements behind patents and proprietary licenses.
Some vendors even pressured the EPA to focus only on the engine — discouraging any effort to improve the interface or user experience for everyone else.
Those vendors now charge you exorbitant prices to use their software while EPANET lags behind — and utilities, engineers, and educators with smaller budgets suffer.
We think this is backwards — and we're on a mission to change it. We're focused on creating a better experience for the entire hydraulic modeling community.
That's why we built epanet-js under an FSL license — because we want to give you an affordable, easy-to-use water modeling option that creates a sustainable future for open-source EPANET development.
Support EPANET by using software that supports it back.
Simple, quick, and useful right out of the gate — designed to open-and-go.
Launch epanet-js now