If Episode 1 set the stage and Episode 2 wrestled Solidity into a friendly headlock, this chapter is where we pour tea for the other EVM language in the room: Vyper. If you’re arriving fresh, start with the Web3 overview and catch up with Episode 1 and Episode 2 — then come back for the Python-flavored dessert.
What is it?
Vyper is a contract-oriented, Pythonic language that compiles to EVM bytecode. It aims for security, readability, and a feature set small enough to audit on a weeknight. The official docs are concise and refreshingly direct at docs.vyperlang.org, and the “product home” lives at vyperlang.org.
Is it still relevant?
Yes. Vyper remains the second-most used language for EVM contracts after Solidity in many guides and surveys, particularly for teams prioritizing auditability and minimized foot-guns. It’s not the loudest language at the party — but it’s often the one double-checking that the door’s locked when everyone leaves.
What are its pros and cons?
Pros
- Minimalism: fewer features, fewer surprises. No inheritance diamonds, no user-defined modifiers, no fancy metaprogramming.
- Readability: Pythonic syntax encourages straightforward control flow and explicitness.
- Auditing culture: Many auditors are comfortable with Vyper’s simplicity; bytecode tends to be predictable.
Cons
- Ecosystem size: Tooling and tutorials trail Solidity’s by a wide margin.
- Hiring pool: Fewer devs with deep Vyper mileage.
- Past incident: A 2023 compiler bug led to high-profile exploits; the team published detailed postmortems and fixes (see Vyper team’s write-up). Incidents force everyone to level up, but they’re still bumps.
Strengths and weaknesses?
Strengths: Security-first semantics (e.g., explicitness, bounds checking, strong typing), cleaner mental model, and code that looks like something your future self can audit before coffee.
Weaknesses: Smaller ecosystem, fewer libraries, and some gaps in tooling compared to Solidity’s Foundry/Hardhat powerhouse (though bridging tools exist — more below).
What is it used for?
Same EVM jobs as Solidity — DeFi, NFTs, vaults, on-chain governance — especially where clarity beats cleverness. Parts of Curve’s early pools were famously Vyper-written (the exploit tied to specific compiler versions, not the language syntax itself — see Curve incident analyses and Hacken’s summary).
Can you give me an example?
Below is a tidy savings-vault pattern with deposits, withdrawals, and a drip of admin — no inheritance, no modifiers, just explicit control flow.
# @version ^0.3.10
# A tiny savings vault with explicit, readable flow.
owner: public(address)
balances: HashMap[address, uint256]
event Deposited:
user: address
amount: uint256
event Withdrawn:
user: address
amount: uint256
@external
def __init__():
self.owner = msg.sender
@payable
@external
def deposit():
assert msg.value > 0, "no value"
self.balances[msg.sender] += msg.value
log Deposited(msg.sender, msg.value)
@external
def withdraw(amount: uint256):
assert amount > 0, "zero amount"
assert self.balances[msg.sender] >= amount, "insufficient"
self.balances[msg.sender] -= amount
send(msg.sender, amount)
log Withdrawn(msg.sender, amount)
@external
def sweep(to: address):
assert msg.sender == self.owner, "only owner"
value: uint256 = self.balance - self._sum_balances()
if value > 0:
send(to, value)
@internal
def _sum_balances() -> uint256:
# WARNING: This is O(n) if you tracked a list; here we omit iteration
# for brevity. In production, keep running totals or track depositors carefully.
return 0 # Demonstration only. Track totals in real life.
What are the alternatives?
- Solidity: The EVM default — giant ecosystem, great tooling, lots of examples.
- Rust: For high-throughput chains (Solana, Near, Aptos via WASM/VM variants).
- Move: Resource-oriented safety on Aptos/Sui. Pick the language that matches the VM and your team’s brain chemistry.
Is it the subject of any famous art? Not yet, unless you count the legendary memes of sneks in hoodies. But if someone paints “Still Life with Gas Refund,” I’m in.
How popular is it, and where is the trend line headed? Vyper’s adoption is smaller than Solidity’s but persistent among security-minded projects and auditors. Most “Top X Web3 languages” lists keep Vyper in the top tier under Solidity, with measured growth in frameworks that support it (see Alchemy’s 2025 overview). Trend: steady, not spiky.
When was it most popular?
Peaks tend to follow security education waves, L2 growth, and big-audit seasons. Public incidents can briefly dampen momentum, then spur stricter compiler and tooling improvements (see Halborn’s breakdown of the 2023 bug).
What’s its history, and who created it? Vyper’s lineage traces back to early Ethereum contributors (the project’s GitHub credits are at github.com/vyperlang/vyper). The design goals — decidability, bounds checking, strong typing — go way back in the docs’ principles.
What companies use it the most? DeFi protocols emphasizing auditability have used Vyper for core components. Exact rosters shift over time, but you’ll find Vyper in the git histories of major Ethereum-native teams and auditor repos.
Is it similar to anything else? Yes: it’s “Pythonic” in flavor, but you’re writing for the EVM, not CPython. Think: explicit state, events, and gas-aware control flow.
Does it work well with AI? Absolutely. LLMs do well generating Vyper because the syntax is simpler and the language discourages clever-but-risky constructs. You still need tests, audits, and human review — AI is your co-pilot, not your seatbelt.
What tech stack does it work with?
- Chains: Ethereum, L2s (Base, Optimism, Arbitrum, zkSync Era, etc.).
- Wallets & infra: MetaMask, Rabby, Alchemy, Infura, Anvil/Ganache equivalents.
- Indexing: The Graph, Flipside, Dune (for analytics).
- Backends: Python/Node/Go services; any stack that can speak JSON-RPC.
What tools work best with it?
- Ape (ApeWorX) for Pythonic workflows (docs at apeworx, quick to Google).
- Brownie for Python lovers (eth-brownie docs).
- Foundry supports Vyper natively — see its official docs at https://getfoundry.sh/config/vyper/.
- Slither & Mythril equivalents exist, but Solidity coverage is broader; pair Vyper with fuzzers and property tests.
How much is it going to cost me? Language and compiler: free. Your real costs are audits, time, and test discipline. Minimalism doesn’t eliminate bugs — it just makes them easier to notice before mainnet notices you.
Any other interesting tidbits?
- Vyper discourages inheritance and modifiers to keep control flow obvious.
- Strong typing and bounds checks reduce “oops” class bugs.
- The docs are short enough to actually finish before your coffee gets cold.
Try it yourself Spin up the official docs at docs.vyperlang.org and the project hub at vyperlang.org. If you prefer Python everywhere, Ape or Brownie will feel like home. If you live in Foundry, add the Vyper plugin and keep moving.
Follow & say hi If this helped, follow for the next episodes (Rust, then Move), drop your hottest “Vyper vs. Solidity” take, and tell me what you’re building. Civil disagreements welcome; spicy code reviews even more so.
Art Prompt (Baroque): A luminous interior scene bathed in warm, directional light, faces emerging from deep shadow with heightened chiaroscuro, skin tones glowing like candlelit pearls, fabrics rendered with buttery folds and subtle texture, a single dramatic highlight pulling the eye toward a calm yet resolute subject; dense, smoky background dissolving into velvety darkness, restrained palette of umbers, oxblood, and burnished gold; quietly theatrical composition with off-center focus and a diagonal flow that suggests stillness just after revelation — moody lighting echoing Caravaggio, yet softened with a hush of devotional intimacy.
Video Prompt: Start with an immediate snap-zoom into the warm highlight, then whip-cut to faces emerging from shadow as practical lights flicker; quick handheld glide reveals velvet textures and slow-breathing fabric, then match-cut to diagonal compositions that “click” into place; add micro-motions — dust motes drifting, a candle guttering, a ring of light circling the focal subject; punctuate with two staccato shutter blinks before resolving into a calm, steady push-in that lands on the resolute gaze; finish with a gentle luminance bloom and a fade into deep umber.
Songs to pair with the edit:
- Tessellate — alt-J
- Fineshrine — Purity Ring