BTC$80,472-1.12% ETH$2,343-2.33% USDT$0.9991+0.00% BNB$731.36-1.45% XRP$1.29-1.28% USDC$0.9996-0.01% SOL$101.39-2.26% TRX$0.3292-0.20% FIGR_HELOC$1.04+1.67% ZEC$1,204-2.08% HYPE$76.29-1.46% DOGE$0.0773-2.47% XMR$607.02+2.82% USDS$1.00+0.02% WBT$77.57-1.85% LINK$11.56-3.18% LEO$9.02-0.41% ADA$0.2066-3.42% XLM$0.1708-2.43% RAIN$0.008415+1.37% NEAR$4.47-6.77% BCH$275.53-3.10% USDE$0.9995+0.01% DAI$1.00+0.02% LTC$56.80-2.39% UNI$6.80-4.13% CC$0.1013-1.43% AVAX$8.92-1.87% USD1$0.9990+0.01% SUI$0.9371-4.14% GRAM$1.25-3.69% HBAR$0.0777-0.67%
मेनू
होम
Assets
कवरेज
सभी assetsEvery research file, largest firstSectorsWhat each category holds and weighsRankingsFourteen leaderboards and what they missहीट मैपThe market sized by value, shaded by changeवैश्विक बाज़ारTotal capitalization, dominance and volume
Tools
स्क्रीनरFilter by fundamentals, supply and riskAssets की तुलना करेंResearch files side by sideसहेजे गएThe assets you have starred
मूल तत्व
Economics
Fees & revenueWhat users pay, and who keeps itValue lockedCapital deposited in each networkExchange volumeTrading on decentralized exchanges
Networks
Network activityAddresses, transactions and throughputStablecoinsDollar tokens, where they live and what backs themStaking & yieldWhat securing a network pays, after issuance
Valuation
Standardized measures
Valuation ratiosPrice against fees and revenue, limits statedSupply & issuanceCirculating, maximum and the dilution aheadMetric definitionsEvery figure: definition, period, limitation
संस्थागत
विनियमित पहुँच
Exchange-traded productsEvery US-listed fund, with a page eachCorporate treasuriesListed companies holding digital assets
Research
Analysis
Research नोट्सShort notes written from stored figuresEvents calendarUpgrades, halvings and policy dates
जोखिम
Risk frameworkFifty factors in seven familiesSecurity incidentsExploits and failures, with the losses
जानें
शिक्षा
Learn libraryEleven tracks, from first principlesशब्दावलीEvery term in plain EnglishCalculatorsFee drag, dilution and conversion
How this site works
पद्धतिHow every figure is measuredडेटा स्रोतWho publishes what we showData की ताज़गीWhen each feed last ranAI agentsPrompts that keep an assistant on our dataPublic APIThe same figures, as JSON
समाचार data से पूछें हमारे बारे में
पढ़ने के विकल्प
Guided view

Markets में नए हैं — prices, yields, market cap? हम हर term को browse करते समय सरल भाषा में समझाते हैं। वही data, built-in सहायता के साथ।

विशेषज्ञ दृष्टिकोण

आप बाज़ार से परिचित हैं। केवल डेटा — स्वच्छ, तीव्र और संक्षिप्त, बिना अतिरिक्त स्पष्टीकरण के। यह डिफ़ॉल्ट दृश्य है।

View
लाइट या डार्क
भाषा
Photography PhotographyStill lifeCryptoStudio
Public API

इस site का प्रत्येक figure JSON के रूप में उपलब्ध है, जिसके साथ उसकी period और source संलग्न है।

API docs पढ़ें
Development Active Devs count

Active Developer Count

How many distinct people contributed code to the project's public repositories recently.

This counts unique contributor identities that authored at least one commit to the tracked repositories during the window. It is generally more robust than a raw commit count, because it is insensitive to whether a team squashes commits or pushes them individually. It measures participation in public code, which is one input into how a protocol is maintained and not a complete picture of the effort behind it.

इसकी गणना कैसे होती है

distinct commit-author identities in tracked public repositories over the last 30 days

यह कहाँ भ्रमित करता है

Counting is by author identity, so one person using several accounts counts several times, while a shared organizational or bot account collapses many contributors into one. Chains that began as a fork of another project inherit that project's contributor history, and trackers that do not filter for it will report contributors who never worked on the fork. The measure cannot distinguish a core protocol engineer from someone correcting a typo in the documentation, since both produce one authored commit. Work on closed-source components, on a competing client maintained by a separate organization, or on private security fixes is invisible.

equity की तुलना, और यह क्यों विफल होती है

Engineering headcount. The analogy fails because headcount is a payroll figure for a defined employer, whereas contributor counts are self-identified accounts on a public code host, employed by many organizations or none, and contributing amounts of work that differ by orders of magnitude.

उच्च या निम्न मान पढ़ना

A higher count means more distinct identities contributed code over the window; a lower one means fewer. Whether those contributions are substantial or trivial is not captured, so the count should be read alongside the repositories being tracked.

01

हमारी coverage में सर्वोच्च मान

केवल figure के आधार पर क्रमबद्ध। यह quality की ranking नहीं है और इसमें कोई दृष्टिकोण नहीं है।

#AssetActive Developer Count
1 EthereumETH 906
2 BitcoinBTC 846
3 SolanaSOL 411
4 MoneroXMR 320
5 SuiSUI 218
6 NEAR ProtocolNEAR 213
7 TRONTRX 190
8 ChainlinkLINK 173
9 DogecoinDOGE 161
10 BittensorTAO 129
11 The GraphGRT 124
12 AlgorandALGO 117
13 CelestiaTIA 104
14 ZcashZEC 102
15 Mina ProtocolMINA 87
Digital Asset DatabaseDigital asset research & education

Assets

सभी assetsSectorsRankingsहीट मैपस्क्रीनरतुलना करेंसहेजे गए

मूल तत्व

Fees & revenueValue lockedExchange volumeNetwork activityStablecoinsStaking & yield

Valuation & risk

Valuation ratiosSupply & issuanceMetric definitionsRisk frameworkSecurity incidents

संस्थागत

Exchange-traded productsCorporate treasuriesEventsResearch नोट्ससमाचार

जानें

Learn libraryशब्दावलीCalculatorsdata से पूछेंAI agentsPublic API

परिचय

हमारे बारे मेंसंपर्कपद्धतिडेटा स्रोतसंपादकीय नीतिData की ताज़गी

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