{"id":3305,"date":"2025-07-09T06:31:03","date_gmt":"2025-07-09T06:31:03","guid":{"rendered":"https:\/\/kanhasoft.com\/blog\/?p=3305"},"modified":"2025-10-16T10:52:43","modified_gmt":"2025-10-16T10:52:43","slug":"node-js-vs-python-which-is-best-for-backend-development-in-2025","status":"publish","type":"post","link":"https:\/\/kanhasoft.com\/blog\/node-js-vs-python-which-is-best-for-backend-development-in-2025\/","title":{"rendered":"Node.js vs Python: Which Is Best for Backend Development in 2025?"},"content":{"rendered":"

If we had a dollar for every time someone asked us whether Node.js or Python is better for backend development, we\u2019d probably have enough to pay for the monthly coffee bill at Kanhasoft (and trust us, that\u2019s saying something). Even in 2025, the question still burns bright in boardrooms and Slack threads alike.<\/span>\u00a0<\/span><\/p>\n

The thing is\u2014both technologies are outstanding in their own right. Node.js<\/a> lets us write JavaScript on the server, keeping the front-end to backend flow delightfully consistent. Python<\/a> offers rock-solid reliability and a treasure trove of frameworks that make API building downright joyful (okay, as joyful as backend work gets).<\/span>\u00a0<\/span><\/p>\n

So which runtime deserves your next microservice, SaaS dashboard, or billion-dollar unicorn backend? We rolled up our sleeves (metaphorically\u2014most of us are in t-shirts), did the benchmarking, consulted actual deployment headaches, and decided to settle this the Kanhasoft<\/a> way: with an honest, slightly cheeky look at both.<\/span>\u00a0<\/span><\/p>\n

Buckle up (or at least grab a snack). It\u2019s Node.js vs Python\u20142025 edition.<\/span>\u00a0<\/span><\/p>\n

Why Choose Node.js or Python for Modern Backend Architecture<\/h2>\n

When planning a modern backend, we all crave the same sweet trio: speed, developer happiness, and that elusive \u201cfuture-proof\u201d glow. Here\u2019s where Node.js vs Python sets the stage.<\/p>\n

Node.js<\/span><\/b><\/a> sprang to life as a way to use JavaScript everywhere\u2014browser, server, even your fridge (IoT, anyone?). It\u2019s non-blocking, event-driven, and perfect for today\u2019s microservice-heavy architectures. Meanwhile, <\/span>Python<\/span><\/b><\/a> has built its empire on simplicity and versatility. Whether you\u2019re crafting REST APIs, wrangling machine learning models, or scripting DevOps pipelines, Python\u2019s ecosystem is vast and dependable.<\/span>\u00a0<\/span><\/p>\n

In 2025, the big decision boils down to your project\u2019s DNA. Want real-time chat, blazing WebSockets, or seamless frontend\/backend synergy? Node.js is tough to beat. Need bulletproof data handling, quick API scaffolding, or ML integration? Python stands tall.<\/span>\u00a0<\/span><\/p>\n

Online Assignment Expert offers reliable Python assignment help<\/a> to students worldwide. The website provides expert guidance, timely delivery, and plagiarism-free solutions. Their qualified tutors assist with coding, debugging, and concept clarification, ensuring students achieve excellent grades and master Python programming effectively.<\/span><\/p>\n

And let\u2019s be real\u2014both communities churn out libraries faster than we can bookmark them. So it\u2019s less about which language is better in isolation and more about which fits your specific business goals (and team skills) without causing your CTO to break into hives.<\/span> \"Discover<\/span><\/a><\/p>\n

Node.js Performance and Scalability in 2025<\/span>\u00a0<\/span><\/h2>\n

Performance is where Node.js<\/a> often struts onto the dance floor, pulling off moves that Python can\u2019t quite replicate. Thanks to its non-blocking, single-threaded architecture (paired with the V8 engine that\u2019s still shockingly fast in 2025), Node.js handles concurrent connections like a champ.<\/span>\u00a0<\/span><\/p>\n

Imagine you\u2019re building a real-time analytics dashboard, multiplayer game server, or streaming platform\u2014Node.js\u2019s event loop lets it process thousands of simultaneous requests without slowing to a crawl. Compare that to traditional thread-per-request models, and it\u2019s easy to see why big players like Netflix and Uber still swear by Node.<\/span>\u00a0<\/span><\/p>\n

Scalability? It\u2019s practically built in. Horizontal scaling (spinning up more lightweight Node processes across cores or containers) is simpler than teaching an intern git rebase.<\/span>\u00a0<\/span><\/p>\n

But don\u2019t be fooled\u2014it\u2019s not magical. CPU-bound tasks (like heavy image processing or complex computations) can block the event loop, leading to sad users and angsty engineers. That\u2019s why many teams offload such work to worker threads or microservices written in\u2026 you guessed it, Python or even Go.<\/span>\u00a0<\/span><\/p>\n

Bottom line: if your app lives or dies by concurrent connections, Node.js is hard to beat in 2025.<\/span>\u00a0<\/span><\/p>\n

Python Backend Strengths Today<\/span>\u00a0<\/span><\/h2>\n

Now, just because Node.js hogs the concurrency spotlight doesn\u2019t mean Python\u2019s stuck holding the leftovers. Quite the opposite. In 2025, Python remains the darling of developers needing clear, maintainable code, robust frameworks, and serious data chops.<\/span>\u00a0<\/span><\/p>\n

Take <\/span>Django<\/span><\/b><\/a>\u2014you get an entire kitchen sink: ORM, migrations, templating, security out-of-the-box. Need something lighter? <\/span>Flask or FastAPI give you minimalism with plenty of hooks. And if your app ties into machine learning, AI pipelines, or heavy data analysis, Python\u2019s ecosystem is basically your friendly neighborhood Home Depot (you\u2019ll find every tool imaginable).<\/span>\u00a0<\/span><\/p>\n

Python\u2019s blocking model isn\u2019t a dealbreaker for many typical REST APIs. Plus, with ASGI, frameworks like FastAPI have closed the async gap considerably.<\/span>\u00a0<\/span><\/p>\n

What\u2019s really delightful is developer productivity<\/a>. Python\u2019s syntax reads like pseudo-code, reducing bugs and onboarding time. It\u2019s also mature\u2014security tools, linters, type checkers, and documentation standards have been battle-tested for years.<\/span>\u00a0<\/span><\/p>\n

So if your app processes data, integrates ML<\/a> models, or needs to evolve rapidly in features (think: SaaS dashboards, internal tools, analytics suites), Python\u2019s still your huckleberry.<\/span>\u00a0<\/span><\/p>\n

Comparing Developer Productivity & Tooling<\/span>\u00a0<\/span><\/h2>\n

Alright, confession time: at Kanhasoft<\/a>, we\u2019re productivity nerds. We practically live inside our IDEs, linting everything, auto-formatting code, and grumbling when CI fails us at 2 AM.<\/span>\u00a0<\/span><\/p>\n

Node.js<\/span><\/b><\/a> scores big here with the unstoppable\u00a0<\/span>NPM registry. Millions of packages (some gems, some\u2026 well, less gem-like) make adding features as simple as npm install. TypeScript also shines bright in 2025\u2014by now, almost every serious Node project uses it for type safety, reducing those fun \u201cundefined is not a function\u201d production errors.<\/span>\u00a0<\/span><\/p>\n

Meanwhile, <\/span>Python\u2019s <\/span><\/b><\/a>PyPI is equally vast, brimming with everything from web frameworks to obscure financial modeling libraries. And thanks to tools like <\/span>Poetry or Pipenv, managing dependencies isn\u2019t the headache it once was.<\/span>\u00a0<\/span><\/p>\n

On the IDE front, VS Code remains the neutral champion\u2014stellar Python and Node.js plugins keep both camps happy. PyCharm still rules for pure Python shops, while WebStorm offers deep Node smarts.<\/span>\u00a0<\/span><\/p>\n

So, whether you\u2019re debugging async lambdas in Node or stepping through Django signals in Python, 2025 gives devs powerful, mature tooling. The bigger question: does your team think in decorators and type hints, or callbacks and Promises?<\/span> \"Build<\/span><\/a><\/p>\n

RealWorld Use Cases: Who Wins Where?<\/span>\u00a0<\/span><\/h2>\n

Enough theory. Let\u2019s talk battle scars. At Kanhasoft<\/a>, we\u2019ve seen <\/span>Node.js<\/span><\/b><\/a> shine in real-time dashboards\u2014think WebSocket-heavy trading platforms or collaborative whiteboards. Node\u2019s event-driven heart simply loves pushing updates to thousands of clients.<\/span>\u00a0<\/span><\/p>\n

Python, however, wins hands-down for <\/span>data-rich backends. A startup we helped last year needed real-time fraud detection with ML baked in. Python plus TensorFlow, sprinkled with FastAPI, made it a breeze. Try wiring that same pipeline in vanilla Node and you\u2019ll likely invent new curse words.<\/span>\u00a0<\/span><\/p>\n

When it comes to heavy lifting\u2014processing gigabytes of CSVs, running NLP tasks, or orchestrating ETL pipelines\u2014Python\u2019s your obvious friend. But if you\u2019re building chat apps, online multiplayer games, or anything that lives or dies by low-latency I\/O, Node\u2019s asynchronous model keeps your ops team sane.<\/span>\u00a0<\/span><\/p>\n

So, \u201cWho wins where?\u201d is almost the wrong question. The best systems often use both\u2014Python microservices crunching data, Node servers pushing updates, tied together by friendly APIs. That\u2019s 2025 in a nutshell.<\/span>\u00a0<\/span><\/p>\n

Learning Curve and Community Vibes<\/span>\u00a0<\/span><\/h2>\n

We\u2019d love to tell you that learning Node.js or Python is like strolling through a sunny meadow. In reality? More like a brisk hike\u2014occasionally uphill, sometimes through brambles\u2014but generally rewarding.<\/span>\u00a0<\/span><\/p>\n

Node.js<\/span><\/b><\/a> is familiar territory for most frontend devs. If you know JavaScript, you\u2019re 80% there. But that last 20%\u2014understanding event loops, Promises, async\/await, error bubbles\u2014can sneak up on teams new to backend work. The Node ecosystem is also fiercely fast-moving; packages come and go, and yesterday\u2019s best practice might be today\u2019s cautionary tale.<\/span>\u00a0<\/span><\/p>\n

Python<\/span><\/b><\/a>, meanwhile, is the old wise monk on the mountain. It\u2019s famed for simplicity\u2014new devs read Python and nod along like \u201cyep, that makes sense.\u201d That\u2019s gold when you\u2019re scaling teams quickly. Python\u2019s type hints and mypy have tightened the screws on reliability too, keeping big projects from turning into spaghetti.<\/span>\u00a0<\/span><\/p>\n

Community-wise, both languages boast massive, global legions. Hop on Stack Overflow or GitHub and you\u2019ll trip over helpful examples, tutorials, even memes. But there\u2019s a vibe difference: Node\u2019s crowd skews younger, faster, sometimes more chaotic (we say that lovingly), while Python\u2019s crowd often brings a \u201cmeasure twice, cut once\u201d calm.<\/span>\u00a0<\/span><\/p>\n

If you\u2019re staffing a brand-new team in 2025, choosing based on your talent pool\u2019s comfort can be the best productivity hack you\u2019ll ever implement.<\/span>\u00a0<\/span><\/p>\n

Security Considerations in 2025<\/span>\u00a0<\/span><\/h2>\n

Ah, security\u2014the part of the stack we love to dread. In 2025, the core security concerns for <\/span>Node.js<\/a> vs Python<\/a><\/span><\/b> haven\u2019t vanished, they\u2019ve just evolved.<\/span>\u00a0<\/span><\/p>\n

Node.js, with its sprawling NPM ecosystem, can be a double-edged sword. Yes, there\u2019s a package for everything, but also a vulnerability lurking if you\u2019re not vigilant. Supply chain attacks are no joke\u2014remember the left-pad fiasco (or its many modern cousins)? Thankfully, tools like npm audit, Snyk, and automated CI checks help catch issues before you deploy a ticking time bomb.<\/span>\u00a0<\/span><\/p>\n

Python\u2019s PyPI isn\u2019t immune either, but generally sees fewer spectacular headline-making breaches. Frameworks like Django are downright paranoid about security\u2014auto-escaping templates, CSRF tokens, ORM protections. FastAPI leans on Pydantic for safe data parsing, which in our experience stops a lot of silly bugs before they hit prod.<\/span>\u00a0<\/span><\/p>\n

Ultimately, security rests on your team\u2019s shoulders. Node might need more explicit care in managing asynchronous flows to avoid subtle injection points, while Python\u2019s dynamic nature means rigorous input validation is still king.<\/span><\/p>\n

Our take? In either case, budget for static analysis, dependency scanning, and actual security audits. Nothing like a penetration test report to make you rethink your \u201cquick weekend project\u201d that somehow ended up serving 10,000 paying users.\"Node.js<\/a>
\n<\/span><\/p>\n

Deployment, DevOps & Hosting Options<\/span>\u00a0<\/span><\/h2>\n

Ah, deployment\u2014the moment when your beautiful code either sails gracefully into production or bursts into flames on the launchpad.<\/span>\u00a0<\/span><\/p>\n

Node.js is famously lightweight. Shipping a Node.<\/b>js app<\/a> often means a single runtime binary plus your JavaScript files. In 2025, containerization with Docker and orchestration with Kubernetes remain the gold standard for scale. Node\u2019s tiny footprint means it spins up fast, perfect for serverless platforms like AWS Lambda or Google Cloud Functions. Need hundreds of tiny instances auto-scaling with load? Node thrives here.<\/span>\u00a0<\/span><\/p>\n

Python carries a bit more baggage. Virtual environments, larger runtimes, slower cold starts\u2014nothing tragic, but something your DevOps folks will mutter about over coffee. That said, Python shines in traditional PaaS setups (Heroku, DigitalOcean App Platform) and is increasingly competitive on serverless thanks to optimizations in Python 3.12+.<\/span>\u00a0<\/span><\/p>\n

CI\/CD tooling loves them both equally. Whether it\u2019s GitHub Actions, GitLab pipelines, or Jenkins (for our more masochistic friends), automating tests and deployments is trivial.<\/span>\u00a0<\/span><\/p>\n

We\u2019ve found a hybrid approach works wonders: Node handles front-facing, event-heavy services in a serverless mesh, while Python powers stateful APIs and ML inference in slightly beefier containers. In 2025, mixing runtimes is so normal it barely raises an eyebrow (unless your CTO forgot to budget for multi-runtime observability\u2014whoops).<\/span>\u00a0<\/span><\/p>\n

Cost Implications & Infrastructure Overheads<\/span>\u00a0<\/span><\/h2>\n

Let\u2019s talk money\u2014because even in 2025, your CFO still doesn\u2019t care if you chose the \u201ctrendier\u201d stack. They care if it\u2019ll balloon the AWS bill or burn hours in DevOps tuning.<\/span>\u00a0<\/span><\/p>\n

Node.js often delivers cost savings on compute. Its event-driven model squeezes more simultaneous connections out of each CPU core, meaning you need fewer instances to handle the same load. This is gold for chat apps, streaming platforms, or any scenario where lots of users wait on I\/O. Serverless functions? Node\u2019s faster cold starts and lean memory use typically translate to a lighter bill.<\/span>\u00a0<\/span><\/p>\n

Python isn\u2019t outrageously expensive\u2014it\u2019s just a touch heavier. If your app is CPU-bound (ML inference, big data crunching), the cost lines blur. Often, Python + optimized native libraries (NumPy, TensorFlow, PyTorch) outperform naive Node CPU scripts anyway, doing more work per dollar.<\/span>\u00a0<\/span><\/p>\n

And then there\u2019s developer productivity. If your team flies in Python<\/a> and ships twice as fast, that\u2019s real saved money. Same if your Node experts keep infra lean with clever event models.<\/span>\u00a0<\/span><\/p>\n

Our real-world takeaway? In most 2025 workloads, infra costs for Node vs Python aren\u2019t wildly different. Misconfigurations (or forgetting to turn off staging servers\u2014cough, last month\u2019s invoice) usually cost you more than your language choice.<\/span>\u00a0<\/span><\/p>\n

Personal Anecdote: Our Kanhasoft Journey<\/span>\u00a0<\/span><\/h2>\n

Alright, time for some confession. A couple years back (seems like eons in tech years), we migrated a mid-sized backend from Python\/Flask to Node.js. Why? The app needed heavy WebSocket support, user notifications, and tight integration with a React dashboard.<\/span>\u00a0<\/span><\/p>\n

Our theory: keep it all JavaScript, cut down on context switching, and ride Node\u2019s async model to glory.<\/span>\u00a0<\/span><\/p>\n

Reality? It worked\u2014eventually. Early on, we hit bumps. Our Python crew was lightning-fast building data pipelines and serializers, but suddenly found themselves debugging mysterious Promise.all issues at 3\u202fAM. Meanwhile, the Node team wondered why Python had all these neat type-checking linters and solid migrations.<\/span>\u00a0<\/span><\/p>\n

Biggest lesson? Pick based on your app\u2019s strengths, sure\u2014but also your team\u2019s comfort zone. We spent more on upskilling than on actual compute. Six months later, it was humming beautifully: Node handling thousands of simultaneous socket connections, Python microservices quietly scoring data and spitting out recommendations.<\/span>\u00a0<\/span><\/p>\n

We still laugh about that transition sprint. (Mostly because if we didn\u2019t, we\u2019d cry.)<\/span> \"Backend<\/span><\/a><\/p>\n

When to Avoid Each Runtime<\/span>\u00a0<\/span><\/h2>\n

No technology is perfect (even if our sales decks might suggest otherwise). Knowing when <\/span>not to use Node.js or Python can save a world of pain\u2014and several sleepless deployment nights.<\/p>\n

Node.js, despite its concurrency superpowers, is <\/span>not<\/span><\/i> your friend for CPU-heavy workloads. Think giant matrix multiplications, video encoding, or complex cryptographic operations. The single-threaded event loop can block on big CPU jobs, leaving all your lovely concurrent requests stuck twiddling their thumbs. Sure, you can offload work to worker threads or external services, but if CPU hogging is the heart of your app, maybe reconsider.<\/span>\u00a0<\/span><\/p>\n

On the flip side, <\/span>Python<\/a> sometimes struggles with real-time, low-latency demands. Yes, FastAPI and async frameworks have helped, but Python\u2019s performance under massive simultaneous socket connections doesn\u2019t exactly set benchmarks on fire. If you\u2019re building a live multiplayer game server or stock trading platform where milliseconds matter, think twice.<\/span>\u00a0<\/span><\/p>\n

Also, Python\u2019s Global Interpreter Lock (GIL) remains a factor for multi-threaded CPU parallelism. Not a dealbreaker\u2014most serious workloads use multiprocessing or native bindings\u2014but it\u2019s an extra design wrinkle.<\/span>\u00a0<\/span><\/p>\n

Bottom line: Don\u2019t shoehorn a tech stack just because your devs \u201clike it.\u201d Save future-you from writing frantic postmortems.<\/span>\u00a0<\/span><\/p>\n

The Futureproof Factor: Trends to Watch<\/span>\u00a0<\/span><\/h2>\n

So what does the road ahead look like for these two backend titans? In 2025, we\u2019re seeing exciting shifts on both sides.<\/span>\u00a0<\/span><\/p>\n

Node.js<\/span><\/b><\/a> continues its romance with TypeScript. By now, most serious Node shops treat TS as mandatory. The ecosystem\u2019s become more ergonomic too\u2014frameworks like NestJS (a modular, decorator-friendly delight) make building scalable backends almost fun. Meanwhile, serverless support for Node remains top-tier; cold starts get faster each year.<\/span>\u00a0<\/span><\/p>\n

Python<\/span><\/b><\/a> isn\u2019t standing still. Python 3.12 has sliced down startup times and improved typing in huge ways. Async-friendly frameworks like FastAPI have gone mainstream, meaning you no longer need to trade developer happiness for concurrency. Also, with machine learning booming, Python\u2019s libraries keep outpacing everything else\u2014new tensor ops, hyperparameter tuners, distributed training tools pop up monthly.<\/span>\u00a0<\/span><\/p>\n

And we\u2019d be remiss not to mention WASI + WebAssembly. Both Node and Python are dabbling here, letting you offload CPU-heavy stuff to sandboxed, near-native speed modules.<\/span>\u00a0<\/span><\/p>\n

So which runtime is more \u201cfuture-proof\u201d? Trick question. In 2025, the future\u2019s about <\/span>polyglot systems\u2014microservices, serverless endpoints, even WebAssembly modules coexisting happily. Picking a single hammer for every nail? That\u2019s so 2015.<\/span> \"Future-Proof<\/span><\/p>\n

Kanhasoft\u2019s Final Verdict<\/span>\u00a0<\/span><\/h2>\n

Alright, the part you scrolled here for (it\u2019s okay, we do it too): which is better\u2014Node.js or Python\u2014for backend development in 2025?<\/span>\u00a0<\/span><\/p>\n

Our totally honest, slightly annoying answer: <\/span>it depends.<\/span><\/b> (Don\u2019t throw your monitor at us yet!)<\/span>\u00a0<\/span><\/p>\n

If your app is I\/O-bound, needs real-time updates, or benefits from sharing models and validators with your React\/Vue front end\u2014<\/span>Node.js <\/a><\/span><\/b>wins hands down.<\/span><\/b> It\u2019s lean, it\u2019s fast, it loves concurrent connections.<\/span>\u00a0<\/span><\/p>\n

But if your backend\u2019s a data wrangler\u2014slicing CSVs, feeding ML models, or orchestrating business workflows\u2014<\/span>Python still rules.<\/span><\/b> Developer productivity is off the charts, and the libraries are unmatched for data and AI.<\/span>\u00a0<\/span><\/p>\n

And in truth, most modern architectures mix and match. We\u2019ve built SaaS<\/a> platforms where Node pushes live dashboards and Python crunches prediction models. It\u2019s often less about picking a winner and more about designing a dance where each shines.<\/span>\u00a0<\/span><\/p>\n

So grab your whiteboard, sketch your data flows, and let your app\u2019s needs\u2014not hype\u2014dictate the stack. Your future self (and your hosting bill) will thank you.<\/span>\u00a0<\/span><\/p>\n

Conclusion: Final Thoughts from the Kanhasoft Crew<\/span>\u00a0<\/span><\/h2>\n

So there you have it\u2014our slightly cheeky, thoroughly battle-tested take on the eternal <\/span>Node.js<\/a> vs Python<\/a><\/span><\/b> saga. If there\u2019s one thing we\u2019ve learned after deploying dozens of production systems: <\/span>it\u2019s rarely about picking the \u201cbest\u201d language in isolation.<\/span><\/b>\u00a0<\/span><\/p>\n

It\u2019s about understanding your users, your team\u2019s strengths, your scaling plans\u2014and matching tech to fit. Do that, and you\u2019ll spend more time shipping features (and less time writing tear-streaked postmortems at midnight).<\/span>\u00a0<\/span><\/p>\n

Need help untangling your stack decisions? Or just want to trade war stories over a virtual cup of chai? You know where to find us.\"Build<\/a><\/span>\u00a0<\/span><\/p>\n

FAQs<\/span>\u00a0<\/span><\/h3>\n

Is Node.js faster than Python for web APIs?<\/span><\/b>
\n<\/span>Generally yes\u2014especially under heavy I\/O loads. Node\u2019s non-blocking architecture handles many simultaneous connections more gracefully than traditional Python setups.<\/span>\u00a0<\/span><\/p>\n

Can I use both Node.js and Python in the same backend?<\/span><\/b>
\n<\/span>Absolutely! Many microservice architectures split responsibilities\u2014Node for live API delivery, Python for data-heavy processing.<\/span>\u00a0<\/span><\/p>\n

Which is easier for junior developers?<\/span><\/b>
\n<\/span>Most newcomers find Python\u2019s syntax simpler and easier to read. But if your team already knows JavaScript, Node can be a quicker ramp-up.<\/span>\u00a0<\/span><\/p>\n

What about ecosystem longevity?<\/span><\/b>
\n<\/span>Both ecosystems are huge and still growing. Python\u2019s deep roots in data science and Node\u2019s role in fullstack JS ensure they\u2019ll be around for years.<\/span>\u00a0<\/span><\/p>\n

How do I pick for my next project?<\/span><\/b>
\n<\/span>Map out whether your workload is CPU or I\/O-heavy, consider your team\u2019s expertise, and prototype! A week spent building proof-of-concepts can save months of regret.<\/span>\u00a0<\/span><\/p>\n

Do performance differences matter at small scale?<\/span><\/b>
\n<\/span>Often no\u2014at low user counts, the bottleneck is usually bad database queries or missing indexes, not your language choice.<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

If we had a dollar for every time someone asked us whether Node.js or Python is better for backend development, we\u2019d probably have enough to pay for the monthly coffee bill at Kanhasoft (and trust us, that\u2019s saying something). Even in 2025, the question still burns bright in boardrooms and Read More<\/a><\/p>\n","protected":false},"author":3,"featured_media":3316,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,14],"tags":[],"class_list":["post-3305","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nodejs-development","category-python-development"],"yoast_head":"\nNode.js vs Python: Best Backend Choice for 2025?<\/title>\n<meta name=\"description\" content=\"Node.js vs Python\u2014still debating for backend in 2025? 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