programming Data & Analytics — 137 tools curated by the community. Most popular: AIStockWire, Snowtask, RuntimeWire. Each tool comes with a review, tags and alternatives to help you choose.
❓ Frequently asked questions about Data & Analytics
What is Data & Analytics?
Data & Analytics groups 137 tools curated by the mySelectas community. Most popular: AIStockWire.
What are the best free Data & Analytics tools?
mySelectas lists several free options in this category. See in particular: AIStockWire, Snowtask, RuntimeWire.
The short version: AIStockWire is useful if your interest is narrowly AI and semiconductor stocks and you want the news plus the ancillary data (filings, earnings, institutional and congressional trades) in one place instead of stitched together from four different sites — but it's a content site with embedded tools, not a full trading or analytics platform.
Against a broad financial data platform like Yahoo Finance or Stocktwits, AIStockWire's edge is focus: everything is filtered to the AI/semiconductor theme, so you're not wading through unrelated tickers. Against dedicated tools — a prope…
👥 Target audience
Investisseurs et traders suivant specifiquement les valeurs IA et semiconducteurs
🌍 Target countries
Worldwide
🗣️ Available languages
EN
🔄 Alternatives
Yahoo FinanceStocktwitsCapitol Trades (trades du Congres)WhaleWisdom (13F)
The short version: a small, focused convenience tool for a specific audience — if you already work in Snowflake from the terminal and are tired of tabbing over to the web console to check task status, this saves real time.
There's no dedicated competitor doing exactly this; the alternative is simply the Snowflake web console's native task monitoring UI, or writing your own SQL queries by hand each time. Snowtask doesn't replace Snowflake's own tooling so much as give terminal-native users a faster way to access the same information. Being free, open source, and narrowly scoped makes it low-ri…
👥 Target audience
Administrateurs de bases de données et développeurs Snowflake préférant le terminal
🌍 Target countries
Worldwide
🗣️ Available languages
EN
🔄 Alternatives
Console web Snowflake nativeRequêtes SQL manuelles
The short version: RuntimeWire is a reasonable free way to keep a background pulse on AI-industry funding and launches without subscribing to a paid intelligence service, but treat it as a headline tracker, not a substitute for verified reporting on anything you'd act on financially.
The AI-driven production model is the real thing to understand before relying on it: it means broader, faster coverage than a small human team could manage, but also a higher risk of errors, missed context, or misattributed claims that a human editor would normally catch. For casual monitoring of "what's happenin…
👥 Target audience
Investisseurs, fondateurs et professionnels IA voulant suivre l'actualité financement/produits de l'écosystème IA
The short version: NuePrism is worth a look for an engineering leader managing several teams who's tired of finding out about delivery problems after the sprint has already failed — the pitch of forecasting sprint risk before it happens, rather than just reporting on it afterward, is a meaningfully different angle from most engineering dashboards.
The vendor's own case study (2.3x on-time delivery improvement, 27% fewer scope changes over 8 weeks) is a single 10-person-team result, not independently verified, so treat it as a best-case example rather than a guarantee. At $50/month for one tea…
👥 Target audience
Responsables d'ingénierie et delivery managers supervisant plusieurs équipes logicielles
The short version: Draxlr's direct-connection, no-ETL approach is a genuine time-saver for small teams on Supabase or Postgres, but the credit-metered AI features and single-database entry tier mean the real cost climbs faster than the $25 headline price suggests.
Compared to Metabase, the dominant open-source and self-hostable alternative, Draxlr trades self-hosting and a one-time cost for a managed SaaS experience with AI-native querying built in — worth it if you want MCP integration with Claude/Cursor without configuring it yourself. Against Looker or Tableau, Draxlr is far cheaper and fa…
👥 Target audience
Fondateurs, équipes produit et entreprises voulant des dashboards depuis une base SQL existante sans pipeline ETL
The short version: if your team already lives in Claude or Codex and wants to ask real business questions without waiting for a data team, Supernova is a clever, low-friction way to get there — the usage-based pricing keeps it cheap at small scale but requires some care once volume grows.
Compared to building a traditional BI stack with a warehouse like Snowflake or BigQuery plus a visualization layer like Looker or Metabase, Supernova's advantage is skipping most of that setup — you connect sources and query in natural language through an AI assistant you already use, rather than learning a …
👥 Target audience
Startups et scale-ups sans équipe data dédiée, équipes produit voulant interroger leurs données via Claude/Codex
🌍 Target countries
International
🗣️ Available languages
EN
🔄 Alternatives
Snowflake + LookerBigQuery + MetabaseConsultant data indépendant
The short version: if you want to know not just how many humans visit your site but which AI systems are crawling it and whether they're actually reading your content, SearchSeal adds that layer on top of standard privacy-friendly analytics for a low starting price.
Compared to a general analytics tool like Plausible or Fathom, SearchSeal covers the same visitor metrics but adds AI-crawler identification as its actual differentiator — something those tools don't break out by name. Compared to dedicated 'AI search visibility' tools that focus purely on brand mentions in AI answers, SearchSeal …
👥 Target audience
Propriétaires de sites voulant mesurer le trafic humain ET le crawling par les IA (ChatGPT, Gemini, Claude, Perplexity)
The short version: if you sell on Gumroad, promote products as an affiliate, or just want to see what's actually working on the platform before building something similar, Gumtrends turns Gumroad's opaque storefront into a sortable, searchable database for a one-time $99.
There's no direct equivalent inside Gumroad itself — the platform simply doesn't surface sales or revenue data for products you don't own, which is exactly the gap this fills. Compared to general product-research tools built for Amazon or Etsy, Gumtrends is narrower but more useful for this one platform because it's purpose-…
👥 Target audience
Vendeurs Gumroad, affiliés et chercheurs de tendances produits
🌍 Target countries
International
🗣️ Available languages
EN
🔄 Alternatives
Recherche manuelle sur GumroadOutils de recherche produit génériques (Amazon/Etsy)
The short version: if you're stitching together awk, sed, cut and a bit of Python just to filter and reshape a CSV or JSON file, Miller replaces that whole chain with one tool that actually understands column headers and record structure.
What separates Miller from classic Unix text tools is format awareness: instead of treating a CSV as lines of comma-separated text, it operates on named fields, so a filter or sort just references a column name rather than a fragile positional index that breaks if a column gets added. Against pandas or R, Miller's advantage is deployment simplicity — it's a …
👥 Target audience
Ingénieurs DevOps, ingénieurs et scientifiques data, développeurs faisant de l'ETL, du traitement de logs ou du post-traitement de bases de données
The short version: Navigara fills a genuinely underserved niche — most engineering analytics tools (LinearB, Swarmia, DX) measure delivery speed generically, but few specifically tie AI tool spend to measurable output, which is increasingly the exact question CTOs get asked when budget season comes around.
The strength is the specific framing: instead of a generic "developer productivity" dashboard, it's built around justifying AI-tool ROI to non-technical stakeholders, with deployment flexibility (cloud, hybrid, on-prem) that appeals to security-conscious enterprises.
The honest caveat: it'…
👥 Target audience
CTO et responsables d'ingénierie devant justifier le retour sur investissement des outils IA de développement
The short version: if you're building any pipeline that ingests PDFs — an AI agent, a document-processing app, a RAG system — pdf-inspector is worth adding purely as a pre-filter, because it can cut your OCR bill and processing time by skipping the roughly half of PDFs that are already text-based.
The differentiator versus Python staples like pdfplumber or PyPDF2 is speed and the classification-first design: those libraries assume you already know how to handle the PDF and focus on extraction, while pdf-inspector's whole premise is deciding *how* to handle each PDF before you commit resources…
👥 Target audience
Développeurs et équipes construisant des pipelines de traitement de documents ou des agents IA ingérant des PDF
The short version: InnovaDash's value depends entirely on whether you actually trade through MT4/MT5 and want to understand your own performance data — for that specific audience, turning raw broker exports into readable dashboards is a real, if narrow, convenience.
The trading-analytics space is thin on well-known competitors, which cuts both ways: InnovaDash faces less direct competition, but that also means less independent scrutiny of its AI-generated insights compared to a mainstream analytics tool. Against simply reading the raw MT4/MT5 reports yourself or using a broker's built-in stat…
👥 Target audience
Traders forex et crypto utilisant MetaTrader 4 ou 5, du débutant au professionnel
The short version: CorpusIQ's core promise — AI answers about your business that are actually backed by cited source data, not hallucinated — is exactly the gap that makes people distrust asking ChatGPT business questions directly, and connecting 40+ tools out of the box is a real integration effort.
Compared to plugging tools into ChatGPT or Claude manually via ad hoc exports, or building automations in Zapier or n8n to move data around, CorpusIQ's advantage is governance and citations: it controls what each query can see and shows its sources, which matters if you're going to act on the ans…
👥 Target audience
PME, ecommerçants, comptables, équipes growth sans infrastructure BI dédiée
The short version: AlphaVue is a genuinely interesting way to stress-test a stock idea with a panel of AI opinions instead of a single black-box score, but the total absence of public pricing is a real red flag for a tool asking you to trust it with investment decisions.
Its closest points of comparison are Danelfin, which also scores stocks with an AI model but leans on one simplified rating rather than AlphaVue's bull/bear multi-agent debate; Tykr, which is built around a simpler pass/fail checklist for beginner-friendly value investing rather than deep multi-agent research; and Simply Wall…
👥 Target audience
Investisseurs particuliers autonomes cherchant à valider leurs thèses d'investissement avec l'aide de l'IA
The short version: Databuddy is a reasonable pick if you want analytics, error tracking, and web vitals in one place without cookie-consent overhead, and the free tier (10,000 events/month) is enough to evaluate it on a small site before paying anything.
Against Plausible, the most established privacy-first analytics tool, Databuddy's bundled error tracking and web vitals are the real differentiator — Plausible is analytics-only, so pairing it with Sentry for errors means running two tools and two bills. Against PostHog, which offers far more depth (session replays, feature flags, A/B testing…
👥 Target audience
Développeurs et équipes techniques construisant des applications web, priorisant vie privée, performance et simplicité
The short version: if you want an analytics dashboard that answers 'which channel made me money' instead of 'which channel got me clicks,' Reignat's revenue-first design and payment-platform integrations (Stripe, Polar, and notably Paddle) target exactly that.
Its closest competitor is Convrs, which covers almost identical ground — revenue attribution, cookieless tracking, Core Web Vitals — but Reignat differentiates with Paddle support (useful if you sell through Paddle rather than Stripe alone), a natural-language AI assistant for querying your data, and public embeddable widgets for sharin…
👥 Target audience
Startups, SaaS, ecommerce, agences et créateurs indépendants
The short version: if you run a SaaS product and want to know which marketing channel actually drives paying customers — not just page views — Convrs's revenue-attribution focus answers a question Google Analytics was never built to answer well.
Its direct pitch against GA4 is legitimate: GA4 is free but notoriously difficult to configure for revenue attribution and comes with real privacy/compliance baggage in some markets, while Convrs bakes revenue attribution and cookieless tracking in from the start, at the cost of a real subscription fee starting at $24/month. Against privacy-focused co…
The short version: Open Analytics competes in an already-crowded privacy-analytics space (Plausible, Fathom, Umami, Simple Analytics) but differentiates with Stripe revenue attribution and an AI-agent-native MCP server that none of those directly offer yet.
Against Plausible or Fathom, pricing is comparable in the same ballpark ($9-49/mo tiers), so the decision comes down to features you actually need: if tying analytics to revenue or querying your stats via an AI agent matters, Open Analytics has an edge; if you just want simple, proven pageview tracking, the more established competitors hav…
👥 Target audience
Propriétaires de sites, startups et équipes soucieuses de la vie privée ; organisations conformes RGPD ; développeurs cherchant une alternative auto-hébergée
The short version: if you're a SaaS team that keeps getting asked for "a dashboard for our data" and dreads building a bespoke analytics layer, QueryPanel's pitch — natural-language-to-SQL with tenant isolation baked in — solves the specific, expensive part of that problem; just budget real integration time, because no embedded-analytics tool is truly drop-in.
Against general-purpose BI tools like Metabase or Cube, QueryPanel's edge is that it's built from day one for embedding inside someone else's multi-tenant product, not for an internal team looking at its own warehouse — tenant isolation…
👥 Target audience
Équipes produit et fondateurs SaaS voulant proposer des tableaux de bord à leurs propres clients sans construire une couche analytics maison
The short version: SoldComps does one narrow job — eBay sold-price data via a clean API — genuinely well, and the free tier alone is generous enough to be useful for a hobbyist reseller.
eBay's own official APIs can get you the same underlying data for free, but require navigating OAuth setup, XML/complex response formats, and stricter rate limits — a real barrier if you just want a quick price check without building full API infrastructure. Terapeak, eBay's own paid research tool, offers deeper trend analysis and is bundled for eBay sellers with a store subscription, but it's a dashboard, no…
👥 Target audience
Revendeurs eBay, flippers, développeurs, chercheurs de marché, professionnels de ventes immobilières/de succession ayant besoin de comparables de prix
🌍 Target countries
8 places de marché eBay : US, UK, DE, FR, IT, ES, CA, AU
🗣️ Available languages
EN
🔄 Alternatives
API officielle eBay (gratuite mais complexe)TerapeakBright Data (scraping générique)